rtao499

rtao499's Stars

• openBII/HNN

  A programming framework based on PyTorch for hybrid neural networks with automatic quantization

  Language:Python171

• facebookarchive/fb.resnet.torch

  Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

  Language:Lua2.3k666

• gpuopenanalytics/pynvml

  Provide Python access to the NVML library for GPU diagnostics

  Language:Python22131

• Huawei-BIC/SpikeDHS

  This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2022, Spotlight"

  Language:Python142

• fangwei123456/spikingjelly

  SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

  Language:Python1.4k248

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.8k9.5k

• msracver/Deformable-ConvNets

  Deformable Convolutional Networks

  Language:Python4.1k958

• autonomousvision/unimatch

  [TPAMI'23] Unifying Flow, Stereo and Depth Estimation

  Language:Python1.1k116

• XDUSPONGE/SNN_benchmark

  25355

• FedML-AI/FedML

  FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

  Language:Python4.2k786

• diaoenmao/HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients

  [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

  Language:Python15533

• tlkvstepan/event_stereo_ICCV2019

  This is repository for "Learning an event sequence embedding for dense event-based deep stereo" .

  Language:Python379

• urancon/StereoSpike

  Stereo depth estimation with Spiking Neural Networks (SNN) on Dynamic Vision Sensor (DVS) data

  Language:Python4313

• MichaelGrupp/evo

  Python package for the evaluation of odometry and SLAM

  Language:Python3.5k760

• CopyTranslator/CopyTranslator

  🔠Foreign language reading and translation assistant based on copy and translate.

  Language:TypeScript17.2k1.9k

• SpikeAI/HOTS

  Python implementation of HOTS: Hierarchy Of event-based Time-Surface for pattern recognition

  Language:Jupyter Notebook51

• CyrilSterling/EVFlowNet-pytorch

  EVFlowNet in pytorch

  Language:Python4715

• daniilidis-group/EV-FlowNet

  Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

  Language:Python17244

• uzh-rpg/eds-buildconf

  Build bootstrapping for the Event-aided Direct Sparce Odometry (EDS)

  Language:Shell959

• gallenszl/CFNet

  CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching（CVPR2021）

  Language:Python15523

• haofeixu/aanet

  [CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching

  Language:Python534102

• griffbr/ODMD

  Object Depth via Motion and Detection Dataset

  Language:Python19730

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.8k7.5k

• princeton-computational-imaging/Gated2Gated

  Language:Python3611

• yonseivnl/se-cff

  Official implementation of "Stereo Depth from Events Cameras: Concentrate and Focus on the Future" (CVPR 2022)

  Language:Python396

• PrinceVictor/LWSNet

  Stereo Matching Network

  Language:Python255

• leonzfa/iResNet

  Language:C++12537

• jzbontar/mc-cnn

  Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

  Language:Cuda708232

• szagoruyko/cvpr15deepcompare

  Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

  Language:C++469169

• jahaniam/orbslam3_docker

  ORBSLAM 3 docker with GUI

  Language:Shell14343