Making large AI models cheaper, faster and more accessible
- deep-learning
- hpc
- large-scale
- data-parallelism
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Making large AI models cheaper, faster and more accessible
Open-Sora: Democratizing Efficient Video Production for All
☁️ Build multimodal AI applications with cloud-native stack
Point Cloud Library (PCL)
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Universal grid map library for mobile robotic mapping
Machine learning platform for Web developers
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Web labeling tool for bitmap images and point clouds
Open source Python module for computer vision
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A collection of GICP-based fast point cloud registration algorithms
An efficient C++20 GPU numerical computing library with Python-like syntax
Fullstack SaaS Boilerplate built with tRPC, Fastify and React
Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines
NFStream: a Flexible Network Data Analysis Framework.
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Vulkan, OptiX and CUDA Interoperation Modular Rendering Library and Framework for PC/Linux/Android