Chaoming Wang

LaTeX2AI. LaTeX Plugin for Adobe Illustrator

PowerShell. PowerShell for every system!

auth2api. Lightweight Claude OAuth to OpenAI-compatible API proxy

numba-cuda. The CUDA target for Numba

jax-tvm-ffi. JAX support for tvm-ffi abi

brainx. BrainX: Brain Simulation Ecosystem.

braintools. Modeling tools for brain simulation.

brainevent. Event-driven Computation for Brain Dynamics.

saiunit. Unit-aware computations for AI-driven scientific computing, compatible with NumPy, JAX, PyTorch, CuPy, Dask, ndonnx.

warp. A Python framework for GPU-accelerated simulation, robotics, and machine learning.

statannotations. add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

pinnx. Physics-Informed Neural Networks for Scientific Machine Learning in JAX

braintrace. Eligibility trace-based online learning for brain dynamics

brainstate. A State-based Transformation System for Brain Modeling.

brainunit. Physical units and unit-aware mathematical system for general-purpose brain dynamics modeling.

braincell. Biologically Detailed Brain Cell Modeling in JAX

texstudio. TeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.

cupy. NumPy & SciPy for GPU

taichi. Productive, portable, and performant GPU programming in Python.

levanter. Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

mlir-hlo. MLIR

brian2. Brian is a free, open source simulator for spiking neural networks.

scientific-posters. A collection of scientific posters (with sources) made with Pages or ComicLife

stablehlo. Backward compatible ML compute opset inspired by HLO/MHLO

xla. A machine learning compiler for GPUs, CPUs, and ML accelerators

taco. The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

hidet. An open-source efficient deep learning framework/compiler, written in python.

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

tuning_playbook. A playbook for systematically maximizing the performance of deep learning models.

deeplake. Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

LaPreprint. 📝 A nicely formatted LaTeX preprint template

jax-triton. jax-triton contains integrations between JAX and OpenAI Triton

triton. Development repository for the Triton language and compiler

xla. Enabling PyTorch on XLA Devices (e.g. Google TPU)

ML-From-Scratch. Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

NeuralModeling. for 神经计算建模实战

BrainPy. Brain Dynamics Programming in Python

tensorflow. An Open Source Machine Learning Framework for Everyone

extending-jax. Extending JAX with custom C++ and CUDA code

jax. Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ExplorerPatcher. This project aims to enhance the working environment on Windows

jax-windows-builder. A community supported Windows build for jax.

examples. Examples of BrainPy

yasa. YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

llvmlite. A lightweight LLVM python binding for writing JIT compilers

numba. NumPy aware dynamic Python compiler using LLVM

python-patterns. A collection of design patterns/idioms in Python

SentimentPolarityAnalysis. 情感极性分析repository1：基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。