{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"llms-with-matlab","owner":"matlab-deep-learning","isFork":false,"description":"Connect MATLAB to the OpenAI Chat Completions API (which powers ChatGPT)","topicNames":["matlab","openai-api","llm","chatgpt-api","openai-chatgpt"],"topicsNotShown":0,"allTopics":["matlab","openai-api","llm","chatgpt-api","openai-chatgpt"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":2,"issueCount":5,"starsCount":67,"forksCount":14,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-21T15:33:55.571Z"}},{"type":"Public","name":"MATLAB-Deep-Learning-Model-Hub","owner":"matlab-deep-learning","isFork":false,"description":"Discover pretrained models for deep learning in MATLAB","topicNames":["awesome","model-zoo","matlab","awesome-list","pretrained-models","matlab-deep-learning","deep-learning"],"topicsNotShown":0,"allTopics":["awesome","model-zoo","matlab","awesome-list","pretrained-models","matlab-deep-learning","deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":1,"issueCount":10,"starsCount":398,"forksCount":101,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,2,1,0,0,0,0,0,0,1,0,0,0,0,2,0,0,1,0,0,4,2,0,0,0,2,1,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-10T14:03:47.324Z"}},{"type":"Public","name":"pretrained-dlCHOMP","owner":"matlab-deep-learning","isFork":false,"description":"Pretrained networks for Deep-Learning-Based Covariant Hamiltonian Optimization for Motion Planning (DLCHOMP) of robotic manipulators for MATLAB®","topicNames":["deep-learning","robotics","matlab","motion-planning","pretrained-models","pretrained-networks","robotic-manipulators","matlab-deep-learning"],"topicsNotShown":0,"allTopics":["deep-learning","robotics","matlab","motion-planning","pretrained-models","pretrained-networks","robotic-manipulators","matlab-deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,10,0,0,2,15,0,0,5,8,0,0,3,3,0,3,1,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-01T19:05:25.739Z"}},{"type":"Public","name":"Pretrained-YOLOv8-Network-For-Object-Detection","owner":"matlab-deep-learning","isFork":false,"description":"YOLO v8 inference in MATLAB for Object Detection with yolov8n, yolov8s, yolov8m, yolov8l, yolov8x, networks","topicNames":["computer-vision","deep-learning","matlab","image-processing","yolo","object-detection","pretrained-models","matlab-deep-learning","yolov8"],"topicsNotShown":0,"allTopics":["computer-vision","deep-learning","matlab","image-processing","yolo","object-detection","pretrained-models","matlab-deep-learning","yolov8"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":4,"starsCount":12,"forksCount":2,"license":"GNU Affero General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-24T11:11:42.819Z"}},{"type":"Public","name":"anomaly-detection-with-text-variational-autoencoder","owner":"matlab-deep-learning","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-17T22:50:56.447Z"}},{"type":"Public","name":"constrained-deep-learning","owner":"matlab-deep-learning","isFork":false,"description":"Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.","topicNames":["deep-learning","monotonicity","neural-networks","deep-learning-algorithms","monotonic","convex","lipschitz","lipschitz-network","convex-neural-network","ai-verification"],"topicsNotShown":0,"allTopics":["deep-learning","monotonicity","neural-networks","deep-learning-algorithms","monotonic","convex","lipschitz","lipschitz-network","convex-neural-network","ai-verification"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":1,"starsCount":27,"forksCount":2,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-27T15:11:49.650Z"}},{"type":"Public","name":"reinforcement_learning_financial_trading","owner":"matlab-deep-learning","isFork":false,"description":"MATLAB example on how to use Reinforcement Learning for developing a financial trading model","topicNames":["deep-learning","example","matlab","algorithmic-trading","matlab-deep-learning","reinforcement-learning"],"topicsNotShown":0,"allTopics":["deep-learning","example","matlab","algorithmic-trading","matlab-deep-learning","reinforcement-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":142,"forksCount":39,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-07T02:13:59.194Z"}},{"type":"Public","name":"pretrained-yolo-v4","owner":"matlab-deep-learning","isFork":false,"description":"Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.","topicNames":["computer-vision","deep-learning","matlab","image-processing","object-detection","transfer-learning","pretrained-models","yolov4","tiny-yolov4","yolov4-coco"],"topicsNotShown":0,"allTopics":["computer-vision","deep-learning","matlab","image-processing","object-detection","transfer-learning","pretrained-models","yolov4","tiny-yolov4","yolov4-coco"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":43,"forksCount":21,"license":"Other","participation":[2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-01T12:06:17.382Z"}},{"type":"Public","name":"CSINet-Channel-Compression-in-MATLAB-Using-Keras","owner":"matlab-deep-learning","isFork":false,"description":"This example shows how to co-execute MATLAB and Python to simulate the effect of channel estimate compression on precoding in a MIMO OFDM channel.","topicNames":["deep-learning","tensorflow","matlab","keras","communications","csinet","matlab-deep-learning"],"topicsNotShown":0,"allTopics":["deep-learning","tensorflow","matlab","keras","communications","csinet","matlab-deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-23T15:46:27.330Z"}},{"type":"Public","name":"nerf","owner":"matlab-deep-learning","isFork":false,"description":"NeRF - Neural Radiance Fileds in MATLAB","topicNames":["matlab","nerf","3d-reconstruction"],"topicsNotShown":0,"allTopics":["matlab","nerf","3d-reconstruction"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-17T01:55:31.430Z"}},{"type":"Public","name":"transformer-networks-for-time-series-prediction","owner":"matlab-deep-learning","isFork":false,"description":"Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction","topicNames":["finance","timeseries","deep-learning","matlab","transformers","prediction"],"topicsNotShown":0,"allTopics":["finance","timeseries","deep-learning","matlab","transformers","prediction"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":1,"starsCount":15,"forksCount":2,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-10T22:15:55.276Z"}},{"type":"Public","name":"Image-Classification-in-MATLAB-Using-TensorFlow","owner":"matlab-deep-learning","isFork":false,"description":"This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.","topicNames":["example","image-classification","pretrained-models","co-execution","deep-learning","tensorflow","matlab"],"topicsNotShown":0,"allTopics":["example","image-classification","pretrained-models","co-execution","deep-learning","tensorflow","matlab"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":46,"forksCount":19,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-05T16:25:46.013Z"}},{"type":"Public","name":"Brain-MRI-Age-Classification-using-Deep-Learning","owner":"matlab-deep-learning","isFork":false,"description":"MATLAB example using deep learning to classify chronological age from brain MRI images","topicNames":["neuroscience","open-data","open-science","deep-learning-tutorial","brain-mri-images","matlab-deep-learning","deep-learning","matlab"],"topicsNotShown":0,"allTopics":["neuroscience","open-data","open-science","deep-learning-tutorial","brain-mri-images","matlab-deep-learning","deep-learning","matlab"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":6,"starsCount":32,"forksCount":14,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-15T18:18:40.594Z"}},{"type":"Public","name":"pretrained-efficientdet-d0","owner":"matlab-deep-learning","isFork":false,"description":"Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB. ","topicNames":["matlab","image-processing","transfer-learning","pretrained-models","efficientdet","matlab-deep-learning","computer-vision","deep-learning","object-detection"],"topicsNotShown":0,"allTopics":["matlab","image-processing","transfer-learning","pretrained-models","efficientdet","matlab-deep-learning","computer-vision","deep-learning","object-detection"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":1,"issueCount":0,"starsCount":14,"forksCount":3,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-03T07:10:17.809Z"}},{"type":"Public","name":"Convert-librosa-Audio-Feature-Extraction-To-MATLAB","owner":"matlab-deep-learning","isFork":false,"description":"Convert librosa Audio Feature Extraction To MATLAB","topicNames":["audio","deep-learning","matlab","pytorch","librosa","matlab-deep-learning"],"topicsNotShown":0,"allTopics":["audio","deep-learning","matlab","pytorch","librosa","matlab-deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,43,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-11-02T13:49:18.900Z"}},{"type":"Public","name":"Inverse-Problems-using-Physics-Informed-Neural-Networks-PINNs","owner":"matlab-deep-learning","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":17,"forksCount":2,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-17T15:36:59.760Z"}},{"type":"Public","name":"Lidar-object-detection-using-complex-yolov4","owner":"matlab-deep-learning","isFork":false,"description":"Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB","topicNames":["matlab","lidar","transfer-learning","pretrained-models","lidar-object-detection","yolov4","tiny-yolov4","matlab-deep-learning","computer-vision","deep-learning"],"topicsNotShown":2,"allTopics":["matlab","lidar","transfer-learning","pretrained-models","lidar-object-detection","yolov4","tiny-yolov4","matlab-deep-learning","computer-vision","deep-learning","yolo","object-detection"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":21,"forksCount":8,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-12T16:52:07.680Z"}},{"type":"Public","name":"neuron-coverage-for-deep-learning","owner":"matlab-deep-learning","isFork":false,"description":"Compute the neuron coverage of a deep learning network in MATLAB.","topicNames":["deep-neural-networks","deep-learning","matlab","neuron-coverage","matlab-deep-learning"],"topicsNotShown":0,"allTopics":["deep-neural-networks","deep-learning","matlab","neuron-coverage","matlab-deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":0,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-04T08:30:09.536Z"}},{"type":"Public","name":"compare-gradient-attribution-maps","owner":"matlab-deep-learning","isFork":false,"description":"Sanity checks for comparing gradient attribution maps","topicNames":["deep-learning","example","matlab","saliency-maps","gradient-attribution","gradient-attribution-map","matlab-deep-learning"],"topicsNotShown":0,"allTopics":["deep-learning","example","matlab","saliency-maps","gradient-attribution","gradient-attribution-map","matlab-deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":1,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-10-03T14:54:57.566Z"}},{"type":"Public","name":"Quantized-Deep-Neural-Network-on-Jetson-AGX-Xavier","owner":"matlab-deep-learning","isFork":false,"description":"How to create, train and quantize network, then integrate it into pre/post image processing and generate CUDA C++ code for targeting Jetson AGX Xavier","topicNames":["deployment","example","matlab","code-generation","quantization","jetson-xavier","jetson-nano","matlab-deep-learning","deep-learning"],"topicsNotShown":0,"allTopics":["deployment","example","matlab","code-generation","quantization","jetson-xavier","jetson-nano","matlab-deep-learning","deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":1,"starsCount":10,"forksCount":2,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-30T12:46:28.963Z"}},{"type":"Public","name":"compare-PyTorch-models-from-MATLAB","owner":"matlab-deep-learning","isFork":false,"description":"Compare PyTorch models from MATLAB using co-execution","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":0,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-29T21:11:11.067Z"}},{"type":"Public","name":"artistic-style-transfer","owner":"matlab-deep-learning","isFork":false,"description":"Artistic fast style transfer with a webcam","topicNames":["deep-learning","neural-network","example","matlab","webcam","fast-style-transfer"],"topicsNotShown":0,"allTopics":["deep-learning","neural-network","example","matlab","webcam","fast-style-transfer"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":1,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-29T11:26:38.383Z"}},{"type":"Public","name":"Physical-Concepts-Scinet","owner":"matlab-deep-learning","isFork":false,"description":"This repository provides implementation of SciNet network described in arXiv:1807.10300v3","topicNames":["deeplearning","variational-autoencoder","scinet","discovering-physical-concepts","matlab-deep-learning","matlab"],"topicsNotShown":0,"allTopics":["deeplearning","variational-autoencoder","scinet","discovering-physical-concepts","matlab-deep-learning","matlab"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":0,"license":"Other","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-29T07:08:22.167Z"}},{"type":"Public","name":"pretrained-salsanext","owner":"matlab-deep-learning","isFork":false,"description":"Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB","topicNames":["computer-vision","matlab","transfer-learning","pretrained-models","automated-driving","pointcloud-3d-detection","lidar-object-detection","salsanext","pandaset","matlab-deep-learning"],"topicsNotShown":3,"allTopics":["computer-vision","matlab","transfer-learning","pretrained-models","automated-driving","pointcloud-3d-detection","lidar-object-detection","salsanext","pandaset","matlab-deep-learning","deep-learning","lidar","semantic-segmentation"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":14,"forksCount":5,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-29T04:39:09.547Z"}},{"type":"Public","name":"satellite-image-semantic-segmentation","owner":"matlab-deep-learning","isFork":false,"description":"Semantic Segmentation of Large Satellite Images with blockedImage Datastores ","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-29T02:24:26.072Z"}},{"type":"Public","name":"transformer-models","owner":"matlab-deep-learning","isFork":false,"description":"Deep Learning Transformer models in MATLAB","topicNames":["matlab","transformer","pretrained-models","gpt-2","gpt2","finbert","matlab-deep-learning","deep-learning","bert"],"topicsNotShown":0,"allTopics":["matlab","transformer","pretrained-models","gpt-2","gpt2","finbert","matlab-deep-learning","deep-learning","bert"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":12,"starsCount":180,"forksCount":55,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-09-19T15:43:50.745Z"}},{"type":"Public","name":"Animated-Adaptive-Linear-Neuron","owner":"matlab-deep-learning","isFork":false,"description":"Animating how Adaline classification works by minimizing cost. Showing comparison of three kinds of gradient descent.","topicNames":["animation","classification","gradient-descent","adaline-model","adaline","gradientdescent","matlab-deep-learning"],"topicsNotShown":0,"allTopics":["animation","classification","gradient-descent","adaline-model","adaline","gradientdescent","matlab-deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-15T11:54:07.684Z"}},{"type":"Public","name":"deepspeech","owner":"matlab-deep-learning","isFork":false,"description":"This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.","topicNames":["audio","deep-learning","deployment","matlab","speech-to-text","transfer-learning","pretrained-models","matlab-deep-learning"],"topicsNotShown":0,"allTopics":["audio","deep-learning","deployment","matlab","speech-to-text","transfer-learning","pretrained-models","matlab-deep-learning"],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":1,"starsCount":7,"forksCount":4,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-06-08T17:15:10.932Z"}},{"type":"Public","name":"Hamiltonian-Neural-Network","owner":"matlab-deep-learning","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":9,"forksCount":1,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-03-07T13:42:36.438Z"}},{"type":"Public","name":"speech-based-information-retrieval","owner":"matlab-deep-learning","isFork":false,"description":"Retrieve answers from a knowledge base via speech recognition and information retrieval.","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"MATLAB","color":"#e16737"},"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-01-13T12:29:42.656Z"}}],"repositoryCount":60,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}