kelza23

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

netron

Visualizer for neural network, deep learning and machine learning models

fastai

The fastai deep learning library

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

cudf

cuDF - GPU DataFrame Library

AlphaPose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

superduperdb

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

open-data

Free football data from StatsBomb

Perfect-Roadmap-To-Learn-Data-Science-In-2024

neuraloperator

Learning in infinite dimension with neural operators.

awesome-biomechanics

A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.

awesome-decision-transformer

A curated list of Decision Transformer resources (continually updated)

GPTSwarm

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

clrs

pose2sim

Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion

matsciml

Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

ussf_ssac_23_soccer_gnn

U.S. Soccer Federation 2023 MIT Sloan Sports Analytics Conference Graph Neural Network soccer research repository

IntelligentGraph

Python package that adds IntelligentGraph capabilities to RDFLib RDF graph package

keunhong.github.io

portfolio-ideas

A curation of awesome portfolio website ideas for developers and designers to draw inspiration from. Raise a pull request to add more. 💜

synthetic-data-for-neural-operators

Synthetic data library used in operator learning for PDE problems that overcomes dependence on classical solvers such as finite differences, finite element, etc.

MVNX-importer-for-Python

Simple library for importing MVNX files into Python, to access the data of a recording using XSense. Uses Python 3 and the untangle library.