Implemenation of Selective Kernel Networks by pytorch with pretrained weight
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Updated
Apr 7, 2020 - Python
Implemenation of Selective Kernel Networks by pytorch with pretrained weight
This is an implementation of electra according to the paper {ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators}
Sentiment analysis using bert
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
ALBERT trained on Mongolian text corpus
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.
Image Synthesis + Corgis = <3
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.
Recognition of Quebec road signs using transfer learning with Python.
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
Forest Fire Detection By Convolutional Neural Network
Mining Discourse Markers for Unsupervised Sentence Representation Learning
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
Tensorflow.js PWA for Diagnosing Pneumonia in Frontal Chest X-ray Images using Convolutional Neural Network and Pretrained Model 🧠
A simulation about controlling a 2D car with hand gestures. The project is inspired and highly influenced by a tutorial from"cj-mills".
Using OpenCV's pretrained model yolov3 for real time object detection. (faster)
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
A repository which contains dataset and a pre-trained Snips model for the Automotive Grade Linux's NLU intent engine.
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