LSTM and QRNN Language Model Toolkit for PyTorch (adapted to fast.ai version)
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Updated
Mar 23, 2018 - Python
LSTM and QRNN Language Model Toolkit for PyTorch (adapted to fast.ai version)
BERT-NER (nert-bert) with google bert https://github.com/google-research.
2 Dog Breed Classifiers; one made from scratch and another from pretrained VGG16, for Udacity DLND, made with ❤️ in Pytorch. Do 🌟 the repo and show some love. 🚀
BERT inference (with similar function to hanxiao/bert-as-service) for spaCy with custom extension attributes
[Facebook AI Hackathon] RoadAI: Building the most intelligent co-driver. Project for Facebook AI Hackathon
Torch and TorchVision, but for NodeJS.
An ordering system that based on the speech recognition, BERT and voice synthesize for Chinese users.
Run PyTorch models in the browser using ONNX.js
A miniature model of a self-driving car using deep learning
PyTorch model to classify if face mask is proper or not
This Chatbot completed with combination of Deep Learning, Natural Language Toolkit(NLTK), PyTorch mode. And highest accuracy achieved here.
A flutter plugin for pytorch model inference. Supports image models as well as custom models.
An image restoration framework (Image Deraining code has been implemented) based on the Restormer model as a back-bone. This is an early idea in my "Attending to the past" research project. This model with roughly the same amount of learnable parameters shows better performance under the same training methods
reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
Open Source Deep Learning Serving System with Web Interface
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
This is a custom library for data processing, visualization and machine learning tools.
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