mdw771

mdw771's Stars

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.3k72102.4k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.2k3342.2k2.2k

• google-research/vision_transformer

  Language:Jupyter Notebook10.1k1022061.3k

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python8.9k724422.5k

• DmitryUlyanov/deep-image-prior

  Image restoration with neural networks but without learning.

  Language:Jupyter Notebook7.8k224981.4k

• hyperopt/hyperopt

  Distributed Asynchronous Hyperparameter Optimization in Python

  Language:Python7.2k1216501k

• HIPS/autograd

  Efficiently computes derivatives of NumPy code.

  Language:Python6.9k214400905

• tensorflow/graphics

  TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

  Language:Python2.7k90177361

• ithinco/i-am-chinese-the-dragonfly-must-go-on

  A response to “We are Google employees, Google must drop DragonFly”

  1.4k49036

• NVIDIA-developer-blog/code-samples

  Source code examples from the Parallel Forall Blog

  Language:HTML1.2k11525632

• danielholanda/LeFlow

  Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks

  Language:Verilog5795140102

• yossigandelsman/DoubleDIP

  Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

  Language:Python513222095

• Info-cn/Terminus

  项目已迁移，此处仅为存档。

  Language:CSS436324349

• uncbiag/registration

  Image Registration

  Language:TeX27516432

• tesfaldet/two-stream-dyntex-synth

  Code for the paper "Two-Stream Convolutional Networks for Dynamic Texture Synthesis". Presented at CVPR '18.

  Language:HTML19212723

• argonne-lcf/ai-science-training-series

  Language:Jupyter Notebook166292491

• Noisyfox/ACT.FFXIVPing

  A simple ACT plugin displays network ping in a small overlay for FFXIV.

  Language:C#618176

• argonne-lcf/ALCF_Hands_on_HPC_Workshop

  The ALCF hosts a regular simulation, data, and learning workshop to help users scale their applications. This repository contains the examples used in the workshop.

  Language:HTML5121134

• mcherukara/PtychoNN

  Deep learning of ptychographic imaging

  Language:Jupyter Notebook4710920

• argonne-lcf/ATPESC_MachineLearning

  Lecture and hands-on material for Track 8- Machine Learning of Argonne Training Program on Extreme-Scale Computing

  Language:LLVM3217129

• yueyericardo/pkbar

  Keras style progressbar for Pytorch (PK Bar)

  Language:Python32334

• AdvancedPhotonSource/tike

  Repository for ptychography software

  Language:Python2984514

• kyuepublic/ptychopy

  High performance ptychography reconstruction python package running on GPU

  Language:C++26445

• tomography/tomobank

  Tomography data bank for everyone.

  Language:Python2361120

• mdw771/instructive_ipython_notebooks

  A collection of self-made tutorials in digital image processing, Fourier optics, Tensorflow usage, etc, in the form of IPython Notebooks.

  Language:Jupyter Notebook12300

• saugatkandel/fast_smart_scanning

  Fast Autonomous Scanning Toolkit

  Language:Jupyter Notebook7315

• JHoahg/Resolution-and-Fluence

  scripts to analyse the fluence resolution relation for coherent lens less x-ray imaging

  Language:Matlab40

• saugatkandel/sopt

  Second order optimization with automatic differentiation

  Language:Jupyter Notebook4302

• xray-imaging/tomopy-ij

  Language:Python34

• mdw771/mdw771.github.io

  Language:HTML230