yanren's repositories
algo
数据结构和算法必知必会的50个代码实现
algo-basic
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
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
awesome-programming-books-1
计算机经典书籍📚，保留书单
BMD
Binary Matrix Decomposition
BRECQ
Pytorch implementation of BRECQ, ICLR 2021
daily-paper-computer-vision
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
deep-image-prior
Image restoration with neural networks but without learning.
DeepLearning
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
flink
Apache Flink
flink-jpmml
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
gluon-cv
Gluon CV Toolkit
GraNet
[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
ILearnDeepLearning.py
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 as to check how the code works in the action.
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
interpretable-ml-book
Book about interpretable machine learning
InterpretableMLBook
《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
learn_git
This is a demo project for testing git
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
nevergrad
A Python toolbox for performing gradient-free optimization
numpy-ml
Machine learning, in numpy
PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
ProbMask-official
Official Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint
racho
2022-任岩-learn-git
RBPN-PyTorch
The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"
SAQ
This is the official PyTorch implementation for "Sharpness-aware Quantization for Deep Neural Networks".
xdupgthesis
西安电子科技大学研究生学位论文XeLaTeX模板