hanyao8

hanyao8's Stars

• dwave-examples/feature-selection-notebook

  Feature selection for machine learning using mutual information.

  Language:Jupyter Notebook119

• tingfengainiaini/sparseCodingSuperResolution

  Language:Matlab4723

• yulunzhang/CRC-SISR

  Matlab code for Collaborative Representation Cascade for Single-Image Super-Resolution

  Language:Matlab1910

• BrunoVox/ScSR

  Python implementation of "Single Image Super-Resolution via Sparse Representation" for educational purposes.

  Language:Python368

• Qiskit/qiskit-ibm-provider

  Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators

  Language:Python7768

• ZZUTK/SRNTT

  Image Super-Resolution by Neural Texture Transfer

  Language:Python43898

• dzungdoan6/HQC-robust-fitting

  Implementation of Hybrid Quantum-Classical Algorithm for Robust Fitting

  Language:Python51

• dwavesystems/dwave-neal

  An implementation of a simulated annealing sampler for general Ising model graphs in C++ with a dimod Python wrapper.

  Language:Python5144

• MSeelbach/Q-Match

  This is the code for the experiments in the ICCV publication 'Q-Match: Iterative Shape Matching using Quantum annealing' in http://gvv.mpi-inf.mpg.de/projects/QMATCH. You can run the code with D-Wave leap: https://www.dwavesys.com/take-leap. One can either run code with the leap IDE or locally by installing ocean (https://docs.ocean.dwavesys.com/en/stable/getting_started.html). To get to the Leap IDE one has to click on workspaces after logging in to Leap.

  Language:Jupyter Notebook32

• openai/guided-diffusion

  Language:Python6.1k813

• openai/sparse_attention

  Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

  Language:Python1.5k192

• hyeon95y/SparseLinear

  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently

  Language:Jupyter Notebook4810

• armanihm/GDC

  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch

  Language:Python5317

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.9k3k

• google-research/vision_transformer

  Language:Jupyter Notebook10.2k1.3k

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.4k349

• automl/nes

  Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

  Language:Python327

• zhang64-llnl/Mix-n-Match-Calibration

  Language:Python344

• automl/TransformersCanDoBayesianInference

  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper

  Language:Python18324

• EliSchwartz/imagenet-sample-images

  1000 images, one per image-net class. For easy visualization/exploration of classes.

  13826

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.7k2k

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python6.7k1.2k

• STEllAR-GROUP/hpx

  The C++ Standard Library for Parallelism and Concurrency

  Language:C++2.5k429

• sgrvinod/a-PyTorch-Tutorial-to-Super-Resolution

  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

  Language:Python614110

• xinntao/ESRGAN

  ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

  Language:Python6k1.1k

• Lornatang/ESRGAN-PyTorch

  A simple implementation of esrgan, which uses the pytorch framework.

  Language:Python13728

• Lornatang/SRGAN-PyTorch

  A simple and complete implementation of super-resolution paper.

  Language:Python413103

• HarukiYqM/Non-Local-Sparse-Attention

  PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).

  Language:Python17419

• lukemelas/PyTorch-Pretrained-ViT

  Vision Transformer (ViT) in PyTorch

  Language:Python779124

• SamLynnEvans/Transformer

  Transformer seq2seq model, program that can build a language translator from parallel corpus

  Language:Python1.3k346