Yuhang Li

Iris. Python

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

GPTAQ. Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)

TesseraQ. Python

LightCompress. [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

SNNCKA. Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)

arxiv-latex-cleaner. arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

alphatensor. Python

Exploring-Lottery-Ticket-Hypothesis-in-SNNs. Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)

Conference-Acceptance-Rate. Acceptance rates for the major AI conferences

SNN_Calibration. Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021

einops. Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

BiBERT. This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

QDrop. The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

temporal_efficient_training. Code for temporal efficient training

MQBench. Model Quantization Benchmark

ES-imagenet-master. code for generating data set ES-ImageNet with corresponding training code

big_transfer. Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

aimet. AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

monyhar. 梦弘浏览器 - 完全自主研发，打破国外垄断，比 Chrome 快 600%。

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

BRECQ. Pytorch implementation of BRECQ, ICLR 2021

imgclsmob. Sandbox for training deep learning networks

apex. A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

DeepInversion. Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

dmcp. Python

APoT_Quantization. PyTorch implementation for the APoT quantization (ICLR 2020)

darts. Differentiable architecture search for convolutional and recurrent networks

ICLR2020-OpenReviewData. Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

singa. a distributed deep learning platform

EfficientNet-PyTorch. A PyTorch implementation of EfficientNet

pytorch-cifar-models. 3.41% and 17.11% error on CIFAR-10 and CIFAR-100

pytorch_image_classification. PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

pytorch_DoReFaNet. A pytorch implementation of DoReFa-Net

pytorch-classification. Classification with PyTorch.

loss-landscape. Code for visualizing the loss landscape of neural nets