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amc

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

auto_featurelize

自动化特征选择

awesome-knowledge-graph

整理知识图谱相关学习资料

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

books

classification

pytorch classification

codinginterviewsnotes

涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等

cpplinks

A categorized list of C++ resources.

cpu_gemm_opt

how to design cpu gemm on x86 with avx256, that can beat openblas.

custom_matmul_kernels

Customized matrix multiplication kernels

datastructure_algorithms

学习数据结构与算法

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

efficientdet_anchor_free

EfficientDet_anchor_free

falcon

Library for fast image convolution in neural networks on Intel Architecture

google-research

Google Research

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

ml

machine learning with numpy

n46-crawler

Nogizaka46 Blog Crawler - 乃木坂46卒業成員部落格備份程式

opencnn

A Winograd Minimal Filter Implementation in CUDA

optimizing-dgemm-on-intel-cpus-with-avx512f

Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually.

pmg-progressive-multi-granularity-training

Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches

ppl.nn

A primitive library for neural network

pytorch-admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

pytorch-convautoencoder

pytorch convolution auto-encoder

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

qnn

Tutorials on Quantized Neural Network using Tensorflow Lite

release

Deep Reinforcement Learning for de-novo Drug Design

rl

sci-kit-learning

学习机器学习库