A repository which contains dataset and a pre-trained Snips model for the Automotive Grade Linux's NLU intent engine.
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Updated
Oct 22, 2023
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)
Tensorflow.js PWA for Diagnosing Pneumonia in Frontal Chest X-ray Images using Convolutional Neural Network and Pretrained Model 🧠
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
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.
Sentiment analysis using bert
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".
Official implementation of SpottingDiffusion : A CNN-based method of detecting AI generated images.
Forest Fire Detection By Convolutional Neural Network
Implemenation of Selective Kernel Networks by pytorch with pretrained weight
ALBERT trained on Mongolian text corpus
This is an implementation of electra according to the paper {ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators}
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Classifying various animal species images using CNN
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
Image Synthesis + Corgis = <3
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.
Real-time hand pose estimation and gesture classification using TensorRT
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