OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
GitHub repository with 139 stars and 20 forks.
Language: Python
Topics: model-predictive-control, optimization, python, robotics, trajectory-optimization, task-specification, forward-kinematics, inverse-kinematics, library, nonlinear
Trending score 0.19, activity score 1.04, stars gained +0, forks gained +0.
2026-06-02: 139 stars and 20 forks.
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GitHub repository with 576 stars and 30 forks.
Trending score: 0.86; stars gained: +7; forks gained: +1.
Language: Python
Topics: diffusion-forcing, diffusion-models, model-predictive-control, nano, planning, robot-manipulation
OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
GitHub repository with 139 stars and 20 forks.
Trending score: 0.19; stars gained: +0; forks gained: +0.
Language: Python
Topics: model-predictive-control, optimization, python, robotics, trajectory-optimization, task-specification
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GitHub repository with 181,649 stars and 31,166 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,361 stars and 853 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,422 stars and 2,253 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,002 stars and 4,224 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,250 stars and 534 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
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Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
A Minimalist, Batteries-included Repository for Advancing World Model Science.
GitHub repository with 576 stars and 30 forks.
Trending score: 0.86; stars gained: +7; forks gained: +1.
Language: Python
Topics: diffusion-forcing, diffusion-models, model-predictive-control, nano, planning, robot-manipulation
Pedestrian-aware autonomy stack for the UIUC Polaris GEM e4: torch MPPI motion planning fed by diffusion-based pedestrian trajectory prediction, with LiDAR + RGB-D perception and sensor fusion on ROS 2.
GitHub repository with 15 stars and 2 forks.
Trending score: 0.48; stars gained: +2; forks gained: +0.
Language: C++
Topics: autonomous-vehicles, diffusion-models, lidar, model-predictive-control, motion-planning, mppi
OpTaS: An optimization-based task specification library for trajectory optimization and model predictive control.
GitHub repository with 139 stars and 20 forks.
Trending score: 0.19; stars gained: +0; forks gained: +0.
Language: Python
Topics: model-predictive-control, optimization, python, robotics, trajectory-optimization, task-specification
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
GitHub repository with 1,364 stars and 342 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: C
Topics: embedded, optimization, nonlinear, optimal, control, differentiable-programming