xhchrn

xhchrn's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++65.6k5473.8k9.4k

• huggingface/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

  Language:Python31.6k3119114.7k

• google-research/tuning_playbook

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

  26.6k286412.2k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.4k2162423k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.7k1015111.1k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.2k144444725

• davidhalter/jedi-vim

  Using the jedi autocompletion library for VIM.

  Language:Python5.3k113787370

• MegEngine/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

  Language:C++4.8k137371538

• erebe/greenclip

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

  Language:Haskell1.3k13032

• kourgeorge/arxiv-style

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

  Language:TeX1.1k1320306

• openai/grade-school-math

  Language:Python1k1418147

• google/learned_optimization

  Language:Python743141661

• sylinrl/TruthfulQA

  TruthfulQA: Measuring How Models Imitate Human Falsehoods

  Language:Jupyter Notebook58881066

• ds4dm/learn2branch

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

  Language:Python3411421102

• bamos/thesis

  Differentiable Optimization-Based Modeling for Machine Learning

  Language:TeX31817043

• nelson-liu/lost-in-the-middle

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

  Language:Python30151427

• Tiiiger/QPyTorch

  Low Precision Arithmetic Simulation in PyTorch

  Language:Python261125274

• bowang-lab/Graph-Mamba

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

  Language:Python2097628

• LaTeX-Bibitem-Styler/latex-bibitemstyler

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

  Language:C#1506926

• ds4dm/ml4co-competition

  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition

  Language:Python12514133

• VITA-Group/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.

  Language:Python586324

• yandex-research/GBDT-uncertainty

  Language:Jupyter Notebook514211

• charleslipku/LotteryFL

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

  Language:Python39206

• liujl11git/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.

  Language:Python352111

• VITA-Group/HyperLISTA

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

  Language:Python21727

• VITA-Group/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

  Language:Python151003

• wotaoyin/IterativeDisplay

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

  Language:MATLAB10

• xhchrn/MS4L2O

  Language:Python9212

• TypalAcademy/xai-l2o

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

  Language:Python3100

• a-green-hand-jack/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。

  Language:Jupyter Notebook20