ma-zx Goto Github PK

3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

apq

[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

awesome-deeplearning-500faq

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

bi-gcn

Implementation of "Binary Graph Convolutional Network" in Pytorch Geometric

binary_gnn

Code for our paper "Binary Graph Neural Networks", CVPR 2021

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

book-mobile-ml

The resources for my book Mobile Deep Learning In Action

carrot

Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点，当前100+站点

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

composer

library of algorithms to speed up neural network training

deep_learning_theory_and_practice

《深度学习理论与实战：基础篇》代码

deeplearning

django-shop

A Django based shop system

drl

Deep Reinforcement Learning

dualstylegan

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

getsture

基于tensorflow2.x的手势识别项目

git-demo

This is a test repsitory named git-demo

gridstudio

Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

lq-nets

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

ma-zx

Config files for my GitHub profile.

metapruning

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for binary value of feature(A))

network-slimming

Network reproduction and expansion based on Learning Efficient Convolutional Networks Through Network Slimming (ICCV 2017).

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment