Fu-Yun Wang's repositories

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

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AnimateLCM

AnimateLCM: Let's Accelerate the Video Generation within 4 Steps!

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Gen-L-Video

The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

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a-PyTorch-Tutorial-to-Class-Incremental-Learning

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

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ECCV22-FOSTER

The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.

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Be-Your-Outpainter

https://arxiv.org/abs/2403.13745

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Gen-L-2

Long video generation with short video diffusion models.

ICLR23-BEEF

The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.

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Awesome-Consistency-Models

Awesome List of Consistency Models

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Mask-detector

An AI model to detect whether the man in the video is wearing the mask.

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ICS2020-workbench

ICS2020 mini-labs

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Parallel-Computing-Project

Parallel algorithms (quick-sort, merge-sort , enumeration-sort) implemented by p-threads and CUDA

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Restricted-Boltzmann-Machine-for-AutoEncoder

reproduce and expansion: Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "Reducing the dimensionality of data with neural networks." science 313.5786 (2006): 504-507.

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Awesome-Incremental-Learning

Awesome Incremental Learning

BDI-tileworld

Reproduce: Kinny, D., and M. George. "Commitment and Effectiveness of Situated Agents." IJCAI-91. 1991.

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Hands-on-RL

Hands-on-RL

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cTensor

A super light-weight deep learning library based on NumPy in PyTorch fashion.

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deep-learning-from-scratch-2

『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)

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effectivepython

Effective Python: Second Edition — Source Code and Errata for the Book

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G-U-N.github.io

academic homepage.

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jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

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LDAM-DRW

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

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pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

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S-Prompts

To promote S-Prompts.

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tianshou

An elegant PyTorch deep reinforcement learning platform.

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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yaoyao-liu.github.io

My homepage's source code

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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