Jiehui-Xu's Stars
thuml/CoTuning
Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
danieltan07/dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
RomainSabathe/dagmm
A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
laiguokun/LSTNet
lucidrains/reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
laiguokun/multivariate-time-series-data
soloice/Matrix_Derivatives
This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
cjlovering/interpretable-reinforcement-learning-using-attention
[NeurIPS, 2020 - Reproducibility Challenge]: [RE] Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
StanfordVL/RubiksNet
Official repo for ECCV 2020 paper - RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
asyml/vision-transformer-pytorch
Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
leoxiaobin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
deepinsight/insightface
State-of-the-art 2D and 3D Face Analysis Project
tensorflow/models
Models and examples built with TensorFlow
vt-vl-lab/FGVC
[ECCV 2020] Flow-edge Guided Video Completion
Turing-Project/WriteGPT
基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化