Stars
Pedestrian simulator powered by the social force model
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
Common used path planning algorithms with animations.
[ECCV 2024] The official repo for "SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders"
Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
A PyTorch implemenation of real XNOR-popcount (1-bit op) GEMM Linear PyTorch extension support both CPU and CUDA
An efficient single/multi-agent trajectory planner for multicopters.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 with small number of parameters (= 6.3M, originally ViT-B has 8…
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
📚 Jupyter notebook tutorials for OpenVINO™
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
PyTorch implementation of "BiDense: Binarization for Dense Prediction," A binary neural network for dense prediction tasks.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Differentiable architecture search for convolutional and recurrent networks
Collection of common code that's shared among different research projects in FAIR computer vision team.
Flops counter for neural networks in pytorch framework
PyTorch Implementation of DARTS: Differentiable Architecture Search
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment