Wu-Chenyang
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Riemannian Adaptive Optimization Methods with pytorch optim
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries. 我们致力于量化知识的开源与汉化，打破国内外量化金融行…
Reinforcement learning auto-bidding library for research and production.
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
Simplifying reinforcement learning for complex game environments
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A flexible framework for solving PDEs with modern spectral methods.
A solver for nonlinear programming with GPU support
C++ code to compute modified Cholesky factorizations of real symmetric matrices.
A markup-based typesetting system that is powerful and easy to learn.
Hardware accelerated, batchable and differentiable optimizers in JAX.
Cellular Automata Accelerated in JAX (Oral at ICLR 2025)
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
Julia package for multicellular modeling
A framework (not only) for large-scale agent-based models
A multi-platform proxy client based on ClashMeta,simple and easy to use, open-source and ad-free.
Another Mihomo GUI.
不再维护，自寻替代品。 Qt based cross-platform GUI proxy configuration manager (backend: sing-box)
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
the baseline for NeurIPS_Auto_Bidding_AIGB_Track
Diffusion models for image generation in Julia
Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
Functions generated at runtime without world-age issues or overhead
Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes