A concise but complete full-attention transformer with a set of promising experimental features from various papers

Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.

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

NeMo: a toolkit for conversational AI

TensorFlow code and pre-trained models for BERT

⚙️ ArminC's configuration (autoexec) for CS:GO - well documented, analysed and no misconceptions.

Mesh TensorFlow: Model Parallelism Made Easier

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

An awesome README template to jumpstart your projects!

A smart popover component for React

Easy TOC creation for GitHub README.md

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

The fastai deep learning library, plus lessons and tutorials

Deep Learning Examples

Tensorflow implementation of contextualized word representations from bi-directional language models

RNN-based language models in pytorch

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Implementation of https://arxiv.org/abs/1904.00962

Easy TOC creation for GitHub README.md (in go)

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.