Dev
GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
3,195
repos tracked
105
surfaced this week
193
created < 30d
Python
top language
27 repos
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Splitting Conic Solver
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Dion optimizer algorithm
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Mathematical reconstruction and verification of dive tables and decompression algorithms, minimal-compartment models, robust inference from incomplete dive histories, and empirical decompression-risk analysis.
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Distributed High-Performance Symbolic Regression in Julia
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Mathematical foundations, information-theoretic methods, optimization algorithms, and research papers on Kelly wagering, risk, and betting markets.
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Symbolic Learning in Python and Julia
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AI-Driven Scientific, Algorithmic, and Systems Discovery
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Greatest Of All Tree Decompositions: tree decompositions of graphs — elimination orders, FlowCutter, multilevel bisection — with PACE .gr/.td I/O and a command-line solver.
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Dion optimizer algorithm
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The fastest and smallest JavaScript polygon triangulation library for your WebGL apps
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Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges, and Applications
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Python bindings for the fast integer compression library FastPFor.
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An interactive ecosystem and evolution simulator written in C and OpenGL, for GNU/Linux.
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Website for the Bayesian Decision-making Algorithms book
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Dion optimizer algorithm
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Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.
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Semantic Scholar's Author Disambiguation Algorithm & Evaluation Suite
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The public CGAL repository, see the README below
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Reinforcement Learning via Self-Distillation (SDPO)
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The "Python Machine Learning (1st edition)" book code repository and info resource
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SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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PubGrub version solving algorithm implemented in Rust
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DeepSpec: a full-stack codebase for training and evaluating speculative decoding algorithms
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Symbolic Learning in Python and Julia
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An interactive tool for analyzing, executing, and improving dynamic programming algorithms.
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Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
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Some standard pieces I find useful in Typst: fonts, subfigures, algorithms, labeled enums, etc.