Starred repositories
Testing code that verifies the correctness of the formula or practice in the papers I'm reading
Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net
Natural Language Processing Tutorial for Deep Learning Researchers
Human Pose and Hip Trajectory Prediction Using Transformers
code for learning trajectory dependencies for human motion prediction
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
Datasets, Transforms and Models specific to Computer Vision
《利用Python进行数据分析·第2版》
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Recent Transformer-based CV and related works.
博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接：https://github.com/nickchen121/Pre-training-language-model 配套博客链接：https://www.cnblogs.com/nickchen121/p/1…
The source codes of 'Skeleton-parted graph scattering networks for 3D human motion prediction'. ECCV 2022
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to k…
Public facing notes page
Repository for "Space-Time-Separable Graph Convolutional Network for Pose Forecasting" (ICCV 2021)
Motion Prediction Work (AAAI2019)
DCT (discrete cosine transform) functions for pytorch
Parse and visualize asf/amc files from CMU MoCap dataset.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A brief introduction to the quaternions and its applications in 3D geometry.
Deep Learning for Vision-based Prediction
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.