DeepWave-KAUST/sweep
Scalable GPU seismic imaging toolkit for wave simulation, RTM, and FWI.
GitHub repository with 30 stars and 5 forks.
Language: Python
Topics: automatic-differentiation, finite-difference, wave-equation-solver
Scalable GPU seismic imaging toolkit for wave simulation, RTM, and FWI.
GitHub repository with 30 stars and 5 forks.
Language: Python
Topics: automatic-differentiation, finite-difference, wave-equation-solver
2026-06-05: 30 stars and 5 forks.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
GitHub repository with 3,247 stars and 808 forks.
Trending score: 0.60; stars gained: +3; forks gained: +14.
Language: Python
Topics: autograd, automatic-differentiation, cirq, deep-learning, differentiable-computing, jax
The agent that grows with you
GitHub repository with 181,472 stars and 31,147 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,942 stars and 833 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,389 stars and 2,252 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,002 stars and 4,224 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,341 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
GitHub repository with 3,247 stars and 808 forks.
Trending score: 0.60; stars gained: +3; forks gained: +14.
Language: Python
Topics: autograd, automatic-differentiation, cirq, deep-learning, differentiable-computing, jax
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
GitHub repository with 825 stars and 100 forks.
Trending score: 0.14; stars gained: +0; forks gained: +1.
Language: Julia
Topics: optimization, local-optimization, global-optimization, automatic-differentiation, algorithmic-differentiation, sciml
Clean-room Rust reimplementation of JAX transform semantics (jit, grad, vmap) with canonical JAXPR-like IR, Trace Transform Ledger, deterministic cache keys, and differential conformance harness
GitHub repository with 8 stars and 2 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Rust
Topics: automatic-differentiation, clean-room, compiler, differential-testing, intermediate-representation, jax
Repository for automatic differentiation backend types
GitHub repository with 65 stars and 17 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Julia
Topics: autodiff, automatic-differentiation, julia