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Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets
🚀 The fast, Pythonic way to build MCP servers and clients
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
OmniControl: Control Any Joint at Any Time for Human Motion Generation, ICLR 2024
A general-purpose, deep learning-first library for constrained optimization in PyTorch
Repo for "KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints"
Graph Neural Network Library for PyTorch
URDF models of humans created to perform human robot interaction experiments.
Robot kinematics implemented in pytorch
💡 VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Clips AI is an open-source Python library that automatically converts long videos into clips.
Robust Speech Recognition via Large-Scale Weak Supervision
🎥 Python and OpenCV-based scene cut/transition detection program & library.
Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment
Python package containing the tools necessary for radial basis function (RBF) applications
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Mitsuba 3: A Retargetable Forward and Inverse Renderer
Latitude is the open-source prompt engineering platform to build, evaluate, and refine your prompts with AI
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
Super fast SMPL/+H/-X implementation in C++, with CUDA support and a built-in OpenGL renderer
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …
Model interpretability and understanding for PyTorch
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
A collection of resources and papers on Motion Diffusion Models.