xhchrn

IterativeDisplay

The IterativeDisplay class for MATLAB is designed to assist in displaying iterative process updates in a structured and customizable manner.

grade-school-math

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

TruthfulQA

TruthfulQA: Measuring How Models Imitate Human Falsehoods

greenclip

Simple clipboard manager to be integrated with rofi - Static binary available

lost-in-the-middle

Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

llama3

The official Meta Llama 3 GitHub site

llama.cpp

LLM inference in C/C++

latex-bibitemstyler

Automatically exported from code.google.com/p/latex-bibitemstyler

Graph-Mamba

Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

MegEngine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

mamba

Mamba SSM architecture

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

learned_optimization

Benign-Overfitting

良性过拟合现象是深度学习方法揭示的关键奥秘之一：深度神经网络即使完全拟合噪声训练数据，似乎也能很好地预测。

LISTA-CPSS

[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.

GNN-MILP

[ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin.

xai-l2o

Optimization-based deep learning models can give explainability with output guarantees and certificates of trustworthiness.

MS4L2O

LotteryFL

LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Computing)

GBDT-uncertainty

interpret

Fit interpretable models. Explain blackbox machine learning.

L2O-Minimax

[ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang

HyperLISTA

[NeurIPS 2021] "Hyperparameter Tuning is All You Need for LISTA" by Xiaohan Chen, Jialin Liu, Zhangyang Wang and Wotao Yin

QPyTorch

Low Precision Arithmetic Simulation in PyTorch

jedi-vim

Using the jedi autocompletion library for VIM.

thesis

Differentiable Optimization-Based Modeling for Machine Learning

ml4co-competition

Machine Learning for Combinatorial Optimization - NeurIPS'21 competition