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deep_learning_tutorial

[ko] 패스트캠퍼스 강의 자료

deeplearnjs

A hardware-accelerated machine intelligence library for the web.

ell

Embedded Learning Library

gemmlowp

Low-precision matrix multiplication

go-ethereum

Official golang implementation of the Ethereum protocol

halide

a language for image processing and computational photography

hw

RTL, Cmodel, and testbench for NVDLA

iverilog

Icarus Verilog

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-js

Run Keras models in the browser, with GPU support

keras-surgeon

Pruning and other network surgery for trained Keras models.

libvpx

Mirror only. Please do not send pull requests.

lowrisc-chip

The root repo for lowRISC project and FPGA demos.

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

ml-from-scratch

Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

mobilenet-caffe

Caffe Implementation of Google's MobileNets

models

Models built with TensorFlow

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

neural-networks-on-silicon

This is a collection of works on neural networks and neural accelerators.

nnabla

NNabla - Neural Network Libraries

nnpack

Acceleration package for neural networks on multi-core CPUs

nnvm

Intermediate Computational Graph Representation for Deep Learning Systems

openblas

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

playground

Play with neural networks!

protobuf

Protocol Buffers - Google's data interchange format

pyethapp

pytorch-playground

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