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This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.
atomate2 is a library of computational materials science workflows
🎈 Updated daily! A list of popular BitTorrent Trackers! / 每天更新！全网热门 BT Tracker 列表！
🌩「自选优选 IP」测试 Cloudflare CDN 延迟和速度，获取最快 IP ！当然也支持其他 CDN / 网站 IP ~
MACE foundation models (MP, OMAT, Matpes)
NepTrainKit is a Python package for visualizing and manipulating training datasets for NEP.
library to read/write .npy and .npz files in C/C++
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Paper list for equivariant neural network
A Python library and command line interface for automated free energy calculations
A GUI client for Windows, Linux and macOS, support Xray and sing-box and others
Python efficient farthest point sampling (FPS) library. Compatible with numpy.
A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities
Powerful, efficient particle trajectory analysis in scientific Python.
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
UF3: a python library for generating ultra-fast interatomic potentials
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.