Ginchung

Ginchung's Stars

• excalidraw/excalidraw

  Virtual whiteboard for sketching hand-drawn like diagrams

  Language:TypeScript90.2k4213.8k8.6k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python67k2831.7k8.2k

• NaiboWang/EasySpider

  A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。

  Language:JavaScript37.1k2335884.5k

• facebook/zstd

  Zstandard - Fast real-time compression algorithm

  Language:C24.2k4141.4k2.2k

• vitalysim/Awesome-Hacking-Resources

  A collection of hacking / penetration testing resources to make you better!

  15.6k693292.1k

• datawhalechina/self-llm

  《开源大模型食用指南》针对**宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

  Language:Jupyter Notebook11.6k791941.3k

• just-the-docs/just-the-docs

  A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

  Language:SCSS7.8k664673.7k

• pymupdf/PyMuPDF

  PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

  Language:Python6.3k652.1k560

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python4.2k122561.3k

• lululxvi/deepxde

  A library for scientific machine learning and physics-informed learning

  Language:Python2.9k57795774

• datawhalechina/learn-nlp-with-transformers

  we want to create a repo to illustrate usage of transformers in chinese

  Language:Shell2.5k1922428

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2.4k37230607

• 52CV/CV-Surveys

  计算机视觉相关综述。包括目标检测、跟踪........

  2k385245

• MetaGLM/glm-cookbook

  Examples and guides for using the GLM APIs

  Language:Jupyter Notebook8461117102

• OrangeX4/NJUAI-Notes

  我在南京大学人工智能专业学习时所做的笔记 :-)

  Language:Terra59991065

• omniscientoctopus/Physics-Informed-Neural-Networks

  Investigating PINNs

  Language:Jupyter Notebook54765134

• SingleZombie/DL-Demos

  Demos for deep learning

  Language:Python48655114

• torchmd/torchmd-net

  Training neural network potentials

  Language:Python3551011278

• weisscharlesj/SciCompforChemists

  Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, and scikit-learn.

  Language:Jupyter Notebook24012477

• charlesliucn/summer-review

  :earth_asia: Review notes for Postgraduate Interview of Tsinghua EE. (Sept. 2017)

  2122132

• MDIL-SNU/SevenNet

  SevenNet - a graph neural network interatomic potential package supporting efficient multi-GPU parallel molecular dynamics simulations.

  Language:Python14453823

• stanford-futuredata/equivariant-transformers

  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

  Language:Jupyter Notebook891129

• usnistgov/jarvis_leaderboard

  A large scale benchmark of materials design methods: https://www.nature.com/articles/s41524-024-01259-w

  Language:Python625945

• EdwardDixon/snake

  Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"

  Language:Jupyter Notebook61718

• torbjornbjorkman/cif2cell

  Generating geometries for electronic structure calculations from CIF files.

  Language:Python4122223

• atomicarchitects/DeNS

  [TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

  Language:Python29532

• hoon-ock/CatBERTa

  Large Language Model for Catalyst Property Prediction

  Language:Python22104

• pythonpanda2/AL4GAP_JCP

  This repository provides documentation for running the Active Learning workflow for fitting Gaussian Approximation Potentials.

  Language:Python8100

• lianpingWu/HEAML.github.io

  Language:CMake200

• yurisanspeur/circumventing_data_imbalance_magmom_predictions

  This repository houses all the code and data that should allow for the reproduction of the results in the paper: "Circumventing Data Imbalance in Magnetic Ground State Data for Magnetic Moment Predictions"

  Language:Python11