🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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

TensorFlow code and pre-trained models for BERT

The Python programming language

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Tmux 配置：打造最适合自己的终端复用工具

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

PyTorch implementation for the APoT quantization (ICLR 2020)

Adversarial Training for Natural Language Understanding

DNN quantization with outlier channel splitting

ICML 2020 Anonymous Submission

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to …

Datasets, Transforms and Models specific to Computer Vision

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

TensorRT Int8 Python version sample. TensorRT Int8 Python 实现例子。TensorRT Int8 Pythonの例です

Deep Learning for humans

Official Implementation for https://arxiv.org/abs/1810.09102

Rethinking the Value of Network Pruning (Pytorch)

Differentiable architecture search for convolutional and recurrent networks

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

Vim colorscheme.