zzqiuzz Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

accurate-binary-convolution-network

Binary Convolution Network for faster real-time processing in ASICs

awesome-rl

Reinforcement learning resources curated

bi-real-net

blog

A minimal and mobile-first blog theme for Jekyll

bmxnet-v2

BMXNet v2: An Open-Source Binary Neural Network Implementation Based on MXNet

caffe-zz

Home-brewed caffe version for low-precision cnn.

channel-spatial-sparse

channel_selection_ea

Evolutionary algorithms used for channel selection.

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

dcgan.caffe

A pure caffe-python implementation of DC-GAN

dcgan_quantization

deep-residual-networks

Deep Residual Learning for Image Recognition

dockerfile-library

images

dynamic-network-surgery

Caffe implementation for dynamic network surgery.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

face-detector-1mb-with-landmark

1M人脸检测模型(含关键点)

gan-pruning

A Pytorch implementation of "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019).

hwgq

Caffe implementation of accurate low-precision neural networks

imagenet-multigpu.torch

an imagenet example in torch.

impl-pruning-caffemodel

Simple pruning example using Caffe

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

mobilefacenet

PyTorch implementation of MobileFaceNets

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenet-v2-caffe

MobileNet-v2 experimental network description for caffe

mobilenetv2

network-slimming

Network Slimming (Pytorch)

onnx

Open standard for machine learning interoperability

onnx-simplifier

Simplify your onnx model

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)