patrickjudd

patrickjudd's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84.7k1.7k47k22.8k

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.1k2.1k4.8k18.7k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.3k2271222.9k

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.5k320511.6k

• NVIDIA/cutlass

  CUDA Templates for Linear Algebra Subroutines

  Language:C++5.8k1091.2k991

• christoomey/vim-tmux-navigator

  Seamless navigation between tmux panes and vim splits

  Language:Vim Script5.4k45282335

• facebookresearch/DrQA

  Reading Wikipedia to Answer Open-Domain Questions

  Language:Python4.5k158252896

• IAIK/meltdown

  This repository contains several applications, demonstrating the Meltdown bug.

  Language:C4.1k1520522

• aaron-xichen/pytorch-playground

  Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

  Language:Python2.6k5350614

• rmtheis/android-ocr

  Experimental optical character recognition app

  Language:Java2.2k15385893

• google/gemmlowp

  Low-precision matrix multiplication

  Language:C++1.8k10936452

• nvdla/hw

  RTL, Cmodel, and testbench for NVDLA

  Language:Verilog1.8k167347569

• bearpaw/pytorch-classification

  Classification with PyTorch.

  Language:Python1.7k3048563

• chiphuyen/sotawhat

  Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

  Language:Python1.4k5915178

• ulfjack/ryu

  Converts floating point numbers to decimal strings

  Language:C++1.2k508799

• openai/blocksparse

  Efficient GPU kernels for block-sparse matrix multiplication and convolution

  Language:Cuda1k19748202

• duckythescientist/SmoothLife

  Continuous Domain Game of Life in Python with Numpy

  Language:Python69017740

• antspy/quantized_distillation

  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

  Language:Python331101778

• pmgysel/caffe

  Ristretto: Caffe-based approximation of convolutional neural networks.

  Language:C++29234060

• tstandley/Xception-PyTorch

  A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions

  Language:Python2504763

• adri-romsor/FitNets

  FitNets: Hints for Thin Deep Nets

  Language:Python2049445

• henrikmidtiby/todonotes

  The package lets the user mark things to do later, in a simple and and visually appealing way.

  Language:TeX180105719

• BertMoons/QuantizedNeuralNetworks-Keras-Tensorflow

  Quantized Neural Networks - networks trained for inference at arbitrary low precision.

  Language:Python14610544

• BertMoons/Comparing-CNN-Architectures

  A regularly updated comparison of CNN architectures in terms of accuracy, operations and model size

  Language:HTML451104

• MatthieuCourbariaux/8-bit-deep-learning

  Training neural networks with 8-bit computations

  Language:Python29707

• sleepokay/watts-strogatz

  Python implementation of the Watts-Strogatz model for generating small-world networks

  Language:Python151110

• CRAFT-THU/tetris

  Re-ordering algorithm for structural sparsity in neural networks

  Language:Python5304

• BertMoons/QuantizedNeuralNetworks-Lasagne-Theano

  Language:Python4300

• Laurans/maxout_network

  Language:Python4202

• iniverno/MIsim

  Caffe directory where MIsim is integrated

  Language:C++220