PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

西安电子科技大学研究生学位论文XeLaTeX模板

[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Pytorch implementation of BRECQ, ICLR 2021

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Official Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint

计算机经典书籍📚，保留书单

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

Book about interpretable machine learning

Python for “Deep Learning”，《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

专注于分享算法，计算机基础（包括计算机网络，操作系统，MySQL等），无论是应付面试，还是提升自己地内功，这里都能帮到你

数据结构和算法必知必会的50个代码实现

Machine learning, in numpy

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

Apache Flink

flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine

Binary Matrix Decomposition

Image restoration with neural networks but without learning.

A Python toolbox for performing gradient-free optimization

Gluon CV Toolkit

An interactive book on deep learning. Much easy, so MXNet. Wow.

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well a…

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more