Tensorflow.js PWA for Diagnosing Pneumonia in Frontal Chest X-ray Images using Convolutional Neural Network and Pretrained Model 🧠
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Updated
Jun 15, 2023 - JavaScript
Tensorflow.js PWA for Diagnosing Pneumonia in Frontal Chest X-ray Images using Convolutional Neural Network and Pretrained Model 🧠
Recognition of Quebec road signs using transfer learning with Python.
A simulation about controlling a 2D car with hand gestures. The project is inspired and highly influenced by a tutorial from"cj-mills".
Classifying various animal species images using CNN
A repository which contains dataset and a pre-trained Snips model for the Automotive Grade Linux's NLU intent engine.
Using OpenCV's pretrained model yolov3 for real time object detection. (faster)
Blip Image Captioning + GPT-2 Happy Model: Generate joyful responses to image captions using state-of-the-art NLP and computer vision. Pretrained models and data preprocessing included for seamless integration. Explore the intersection of deep learning, sentiment analysis, and language generation
Sentiment analysis using bert
Official implementation of SpottingDiffusion : A CNN-based method of detecting AI generated images.
This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.
Forest Fire Detection By Convolutional Neural Network
This is an implementation of electra according to the paper {ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators}
Implemenation of Selective Kernel Networks by pytorch with pretrained weight
ALBERT trained on Mongolian text corpus
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
Mining Discourse Markers for Unsupervised Sentence Representation Learning
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
Image Synthesis + Corgis = <3
Real-time hand pose estimation and gesture classification using TensorRT
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
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