liyancas Goto Github PK

500lines

500 Lines or Less

accfft

A Massively Parallel FFT Library for CPU/GPU

advanced-lane-line-detection

adversarialnetspapers

The classical papers and codes about generative adversarial nets

ai-chip

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

amdovx-modules

AMD OpenVX modules: such as, neural network inference, 360 video stitching, etc.

ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications— automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.

armnn

Arm NN ML software

awesome-deep-computation

A curated list of Deep Learning hardware, cycle/memory optimisation techniques

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-dl-scheduling-papers

awesome-emdl

Embedded and mobile deep learning research resources

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

book

bsnake_lane_detection

caffe

Caffe: a fast open framework for deep learning.

caffe-mobile

Optimized (for size and speed) Caffe lib for iOS and Android with demo APP.

caffe-parallel

caffe-parameter-server

Proof of concept prototype to perform distributed training using BVLC/caffe, based on a parameter server implementation using MPI. Data parallelism only

caffe-shufflenet

This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"

caffe-tensorflow

Caffe models in TensorFlow

caffe2-cpp

Image classification and detection C++ example using caffe2 library

caffecontroll

caffemodel2json

A small tool to dump Caffe's *.caffemodel to JSON for inspection

changtimwu.github.com

Tim's testing/practice notes

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

clang-leg

clblast

Tuned OpenCL BLAS

cnn-models

ImageNet pre-trained models with batch normalization