Fu-Yun Wang's Projects
a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.
AnimateLCM: Let's Accelerate the Video Generation within 4 Steps!
Assignment 1 for the CMU 15418 Course
A simple CUDA Renderer
Awesome Incremental Learning
Reproduce: Kinny, D., and M. George. "Commitment and Effectiveness of Situated Agents." IJCAI-91. 1991.
https://arxiv.org/abs/2403.13745
:notebook:Solutions to Introduction to Algorithms
A super light-weight deep learning library based on NumPy in PyTorch fashion.
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
Effective Python: Second Edition — Source Code and Errata for the Book
code to show F-Principle in the DNN training
Long video generation with short video diffusion models.
The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".
Hands-on-RL
The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.
ICS2020 mini-labs
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
白板推导系列课程笔记 初版
《机器学习》（周志华）算法实现笔记 - The notes of the book Machine Learning (author: Zhou Zhihua)
An AI model to detect whether the man in the video is wearing the mask.
cnn
Parallel algorithms (quick-sort, merge-sort , enumeration-sort) implemented by p-threads and CUDA
PyCIL: A Python Toolbox for Class-Incremental Learning
A quickstart and benchmark for pytorch distributed training.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent