Gongfan Fang

Torch-Pruning. [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

DeepLabV3Plus-Pytorch. Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Awesome-Anything. General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

pytorch-msssim. Fast and differentiable MS-SSIM and SSIM for pytorch.

Thinkless. [NeurIPS 2025] Thinkless: LLM Learns When to Think

Diff-Pruning. [NeurIPS 2023] Structural Pruning for Diffusion Models

TinyFusion. [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow

Awesome-Contrastive-Learning. Awesome Contrastive Learning for CV & NLP

Data-Free-Adversarial-Distillation. Code and pretrained models for paper: Data-Free Adversarial Distillation

Isomorphic-Pruning. [ECCV 2024] Isomorphic Pruning for Vision Models

In-Video-Instructions. [Arxiv 2025] In-Video Instructions: Visual Signals as Generative Control

nyuv2-python-toolkit. nyuv2 toolbox for data extraction and loading.

Reasoning-SFT. SFT of Reasoning LLMs with Megatron-LM

Remix-DiT. Python

MaskLLM-4V. Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers

CommonFeatureLearning. (IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

Neural-Style-Transfer-Gatys. A Tensorflow implementation of Neural Style Transfer

Pytorch-Synchronized-BatchNorm. Synchronized batchnorm for pytorch

maskllm-project-page. JavaScript

dcgan. Tensorflow implementation of dcgan

Awesome-Knowledge-Distillation. Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Chess. Three.js game

Awesome-Pruning. A curated list of neural network pruning resources.

horseee.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes