[ICML2026] Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
GitHub repository with 8 stars and 1 forks.
Language: Cuda
Topics: causal-inference, cuda-kernels, icml-2026, self-evolving-agents, agent-evaluation, evolutionary-algorithms, openevolve
Trending score 0.09, freshness score 0.80, stars gained +0, forks gained +0.
2026-06-15: 8 stars and 1 forks.
[ICML2026] Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation
GitHub repository with 8 stars and 1 forks.
Trending score: 0.09; stars gained: +0; forks gained: +0.
Language: Cuda
Topics: causal-inference, cuda-kernels, icml-2026, self-evolving-agents, agent-evaluation, evolutionary-algorithms
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
GitHub repository with 1,223 stars and 214 forks.
Trending score: 2.00; stars gained: +6; forks gained: +4.
Language: Cuda
Topics: gpt, inference, llama, llm, llm-serving, llmops
Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
GitHub repository with 2,313 stars and 220 forks.
Trending score: 1.87; stars gained: +6; forks gained: +1.
Language: Cuda
Suckless no dependencies CUDA/C++ port of NVIDIA's DVLT, feed it images, get a 3D point cloud + camera poses. NO python. One fast 5MB binary.
GitHub repository with 53 stars and 8 forks.
Trending score: 0.93; stars gained: +1; forks gained: +0.
Language: Cuda
Topics: 3d, 3d-models, 3d-reconstruction, cuda, cuda-cpp, cuda-kernels
Graphics Processing Units Molecular Dynamics
GitHub repository with 786 stars and 187 forks.
Trending score: 0.83; stars gained: +1; forks gained: -1.
Language: Cuda
Topics: molecular-dynamics-simulation, heat-transport, cuda, molecular-dynamics, gpumd, phonon
GPT inference in pure CUDA and C++
GitHub repository with 17 stars and 3 forks.
Trending score: 0.63; stars gained: +0; forks gained: +0.
Language: Cuda
Header-only CUDA runtime library for automatic dependency-aware kernel scheduling based on memory access semantics.
GitHub repository with 6 stars and 0 forks.
Trending score: 0.55; stars gained: +1; forks gained: +0.
Language: Cuda
Topics: cpp, cpp17, cuda, cuda-driver-api, gpu, header-only
Uplift modeling and causal inference with machine learning algorithms
GitHub repository with 5,875 stars and 858 forks.
Trending score: 1.92; stars gained: +12; forks gained: +2.
Language: Python
Topics: incubation, machine-learning, causal-inference, uplift-modeling
DreamGraph is a graph-governed conceptual development environment (CDE) that turns plans, architecture decisions, and project knowledge into auditable execution through a persistent cognitive graph.
GitHub repository with 108 stars and 32 forks.
Trending score: 1.19; stars gained: +3; forks gained: +0.
Language: TypeScript
Topics: agent-memory, ai-agents, autonomous-agents, causal-discovery, causal-inference, claude
Persistent memory for Claude Code — 41 neuroscience papers, 26 biological mechanisms with paper-bearing per-mechanism ablation evidence (E1 v3). LongMemEval R@10 98.4% / MRR 0.9124 (n=500). LoCoMo R@10 94.2% / MRR 0.8278 (n=1986). BEAM-10M +33.4% over flat retrieval. PostgreSQL + pgvector. Verified via 31-row two-benchmark ablation campaign.
GitHub repository with 54 stars and 10 forks.
Trending score: 0.97; stars gained: +1; forks gained: +0.
Language: Python
Topics: agent-memory-system, anthropic, artificial-intelligence, causal-inference, claude, claude-code
Step-by-step causal inference — method selection, assumptions, and robustness checks
GitHub repository with 33 stars and 3 forks.
Trending score: 0.89; stars gained: +1; forks gained: +0.
Language: Python
Topics: ab-testing, business-intelligence, causal-inference, causal-reasoning, causality-analysis, dag
A curated list of AI tools, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.
GitHub repository with 318 stars and 73 forks.
Trending score: 0.76; stars gained: +5; forks gained: +0.
Topics: ai, awesome, awesome-list, causal-inference, econometrics, economics
A Python package for causal inference in quasi-experimental settings
GitHub repository with 1,151 stars and 105 forks.
Trending score: 0.51; stars gained: +0; forks gained: +0.
Language: Python
Topics: causal-inference, pymc, quasi-experimental, quasi-experiments