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A clean C code implementation for Madgwick's IMU and AHRS algorithm.
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
Minimalistic 4D-parallelism distributed training framework for education purpose
IIR Hilbert filter: short, dependency-free, header-only C++
A TTS model capable of generating ultra-realistic dialogue in one pass.
The General Term Formula of the Fibonacci Sequence and Linear Algebra
🐍This is a fast, lightweight, and clean CPython extension for the Byte Pair Encoding (BPE) algorithm, which is commonly used in LLM tokenization and NLP tasks.
🎡 Build Python wheels for all the platforms with minimal configuration.
SpatialLM: Training Large Language Models for Structured Indoor Modeling
OctoTools: An agentic framework with extensible tools for complex reasoning
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
🚀 The fast, Pythonic way to build MCP servers and clients
A very simple implementation of symbolic differentiation.
Online playground for OpenAPI tokenizers
A small, elegant and visulized implementation of reverse mode autograd that is distinct from Karpathy's micrograd. Zero dependency.
A deep learning library built from scratch with complex neural networks examples built on top for learning purposes.
HIP: C++ Heterogeneous-Compute Interface for Portability
Flax is a neural network library for JAX that is designed for flexibility.
Miniature rack builds, for portable or compact Homelabs.
Janus-Series: Unified Multimodal Understanding and Generation Models
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
A machine learning compiler for GPUs, CPUs, and ML accelerators