🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

⚡ Building applications with LLMs through composability ⚡

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

🧠🗼

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Implementation of Universal Transformer in Pytorch

A library for generalized sequence to sequence models

Computation using data flow graphs for scalable machine learning

A system for quickly generating training data with weak supervision

A TensorFlow Implementation of the Transformer: Attention Is All You Need

A complete daily plan for studying to become a Google software engineer.

online natural language processing with word vectors

📖 A curated list of resources dedicated to Natural Language Processing

Extraction de LExique par Variation d'Entropie - Lexicon extraction based on the variation of entropy

MIT Deep Learning Book in PDF format

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Im…

Based on a true story

Python module to perform under sampling and over sampling with various techniques.

Revoke China Certificates.