Explore Projects
Discover 21 open source projects
Showing 1-20 of 21 projects
micropython/micropython
MicroPython for microcontrollers and embedded systems
guidance-ai/guidance
Guidance is a programming paradigm for steering language models with Pythonic syntax and constrained generation.
auduno/clmtrackr
A JavaScript library for precise facial feature tracking using Constrained Local Models.
kokke/tiny-AES-c
A small, portable AES128/192/256 encryption library in C for use in embedded systems and other constrained environments.
tensorflow/tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets.
stevengj/nlopt
A high-performance C library for nonlinear optimization, supporting a wide range of algorithms and use cases.
OpenSPG/openspg
OpenSPG is a knowledge graph engine that enables domain-specific knowledge modeling, facts and logic fusion, and bidirectional enhancement of LLMs and knowledge graphs.
BCG-X-Official/agentkit
A starter kit to build AI-powered agents with Next.js, FastAPI, and Langchain.
unicode-org/icu4x
Provides internationalization and localization solutions for client-side and resource-constrained environments
snyk/agent-scan
A Python library for monitoring and securing MCP (Model Context Protocol) connections for AI applications.
microsoft/EdgeML
A collection of machine learning algorithms for edge devices developed by Microsoft Research India.
PKU-Alignment/safe-rlhf
A safe reinforcement learning from human feedback (RLHF) system for aligning large language models with human values.
Habrador/Computational-geometry
A comprehensive Unity library for computational geometry algorithms and data structures.
OpenImagingLab/FlashVSR
An efficient one-step diffusion framework for streaming video super-resolution with AI-powered tools.
artem-ogre/CDT
A C++ library for fast and robust Constrained Delaunay Triangulation (CDT) calculations.
pnnl/neuromancer
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
SimonBlanke/Gradient-Free-Optimizers
Optimizes numerical and discrete search spaces with various gradient-free optimization techniques.
pantor/ruckig
A C++ library for real-time, jerk-constrained, and time-optimal motion planning for robots and machines.
MatthieuCourbariaux/BinaryNet
A Python library for training deep neural networks with weights and activations constrained to +1 or -1.
sipeed/TinyMaix
TinyMaix is a tiny inference library for microcontrollers, enabling efficient AI/ML on resource-constrained devices.
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