GitHub repo leaderboard by stars, growth rate and activity.
Making large AI models cheaper, faster and more accessible
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A source-grounded course and architectural reference for engineers designing systems that must survive real traffic, partial failure, security review, and changing requirements, spanning enterprise system design, distributed systems, AI systems, cybersecurity, reliability, cloud, HPC, edge, and mission-critical infrastructure.
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | Making large AI models cheaper, faster and more accessible | Python | 41,441 | last pushed 1 week ago | |
| 2 | CUDA Core Compute Libraries | C++ | 2,510 | last pushed 22 hours ago | |
| 3 | Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments. | Python | 869 | last pushed 1 week ago | |
| 4 | A source-grounded course and architectural reference for engineers designing systems that must survive real traffic, partial failure, security review, and changing requirements, spanning enterprise system design, distributed systems, AI systems, cybersecurity, reliability, cloud, HPC, edge, and mission-critical infrastructure. | — | 596 | last pushed 3 weeks ago |
All · 11,474