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CERN
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- in/s-akash-project-gia
- https://akasxh.github.io/
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cuda-oxide is an experimental Rust-to-CUDA compiler that lets you write (SIMT) GPU kernels in safe(ish), idiomatic Rust. It compiles standard Rust code directly to PTX — no DSLs, no foreign languag…
Turn your course slides and PDFs into dense, exam-ready LaTeX cheatsheets.
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swa…
Judging opportunities for devs to pass the O-1A / EB-1 judging requirement.
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Speak naturally with your patient. Get structured clinical notes
AI-Powered Integration Configuration Platform | Team Nucleolus | FinSpark Hackathon IIT Patna
Agentic Framework for Synthesizing CodeQL Queries
pytest for GPU kernels — correctness, benchmarking, and fuzzing for CUDA and Triton
[ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning
Acceptance rates for the major AI conferences
Train the smallest LM you can that fits in 16MB. Best model wins!
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
mrigankpawagi / RFCScope
Forked from HIPREL-Group/RFCScope[Fork] Artifact for "RFCScope: Detecting Logically Ambiguous Bugs in Internet Protocol Specifications" presented at ASE 2025.
Google TPU optimizations for transformers models
AI agents running research on single-GPU nanochat training automatically
A curated list of programs, credits, grants, and perks for students, startups, and open-source builders.
Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
An autonomous agent that takes work, does work, gets paid, and gets better at it.
Hundreds of models & providers. One command to find what runs on your hardware.
TPU inference for vLLM, with unified JAX and PyTorch support.
Complete solutions to the Programming Massively Parallel Processors Edition 4
Akasxh / SUMMIR
Forked from nitish-iitp/SUMMIRSUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs, Accepted at ECIR 2026 as full paper
High-performance Python rate limiter for Django, FastAPI, and Flask using Redis and Lua