AI/ML / Training Infrastructure
A closed-loop controller for LLM training that adapts batch size, learning rate, checkpointing, and pruning to reduce OOM crashes on limited VRAM hardware.
The crawl shows a real open-source project with a clear AI-training focus, repository structure, README abstract, code files, tests, and a concrete use case: stabilizing fine-tuning of LLMs on constrained GPUs. It includes a specific technical approach and measurable results, which is enough evidence for a useful directory listing.
The snapshot doesn’t show installation or quick-start instructions, supported model/framework details beyond the abstract, or enough of the README to verify how to run the project from the repo.
Last evaluated 125 days ago. Current rank #2264. Up 6 spots in the rankings.
A prototype company-brain product that turns 45,047 Enron emails into a cited wiki with time-aware facts, entity pages, and browsing by organization or internal system.
Open-source demo for recognizing hand-object manipulation stages in everyday video, with installation steps, run commands, and a short explanation of the pipeline.
A browser game experiment where bots are controlled by neural networks and evolved with a genetic algorithm. The 2026 update adds shared server-side evolution, improved bot behavior, and a PHP/SQLite backend.
A detailed vLLM blog post explaining speculative decoding on AMD GPUs, with mechanics, supported drafting methods, configuration guidance, tuning advice, and benchmark discussion.
