Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

OpenMMLab Detection Toolbox and Benchmark

A PyTorch implementation of the Transformer model in "Attention is All You Need".

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

[ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

code for https//research.fb.com/publications/towards-automated-neural-interaction-discovery-for-click-through-rate-prediction/

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Pandas中文教程

AutoML tools chain

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

Implementation and experiments of graph embedding algorithms.

Google AI 2018 BERT pytorch implementation

PyTorch Tutorial for Deep Learning Researchers

Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"

Differentiable architecture search for convolutional and recurrent networks

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

Mosaic: MCTS-based Pipeline Optimization

Fast Greedy MAP Inference for DPP

TensorFlow Tutorials