AI for Science 论文解读合集（持续更新ing），论文/数据集/教程下载：hyper.ai

Computations and statistics on manifolds with geometric structures.

This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked systems.

Benchmark datasets, data loaders, and evaluators for graph machine learning

网络设备数据结构化分析框架

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

LLM inference in C/C++

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

An open-source C++ library developed and used at Facebook.

Abseil Common Libraries (C++)

Proxy: Next Generation Polymorphism in C++

A flexible ASCII progress-bar for C++

Boost.org graph module

A library for creating generic graph data structures and modifying, analyzing, and visualizing them.

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Simple CuDNN wrapper

This is my translation of Chinese document of Eigen

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

Entropy for Python

Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"

Inference Llama 2 in one file of pure C

Inference Llama 2 in C++

Matlab code of machine learning algorithms in book PRML

深度学习经典、新论文逐段精读

关于2024年CS保研实验室/导师招生广告的汇总。欢迎想要打广告的小伙伴积极PR，资瓷一下互联网精神吼不吼啊？

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

PyTorch implementations of Learning Mesh-based Simulation With Graph Networks