Lists (1)
Sort Name ascending (A-Z)
Stars
Automate browser based workflows with AI
The absolute trainer to light up AI agents.
real time face swap and one-click video deepfake with only a single image
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Photometric optimization code for creating the FLAME texture space and other applications
The official code for "Efficient Neural Radiance Fields" in CVPR2022.
A large-scale face dataset for face parsing, recognition, generation and editing.
Official code of Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation
An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks
PyTorch implementations of Generative Adversarial Networks.
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
FFCV: Fast Forward Computer Vision (and other ML workloads!)
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Perception toolkit for sim2real training and validation in Unity
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Pythonic task management & command execution.
A Python package that collects robotic environments based on the PyBullet simulator, suitable to develop and test Reinforcement Learning algorithms on simulated grasping and manipulation applications.
Robotics Toolbox for Python
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…