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adaboost-implementation

Implementation of AdaBoost algorithm in Python

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

bayes-nn

Lecture notes on Bayesian deep learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bnt

Bayes Net Toolbox for Matlab

books-pdf

程序员必看的经典书籍，编程电子书下载，附带pdf下载链接，包括C，C++，Java，Python，Linux，Go，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等

boostcnn

Boosting Convolutional Neural Networks

casme2-micro-expression-database-svm

CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation

cfnet

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

darknet

AlexeyAB-DarkNet源码解析

dcfnet_pytorch

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

dcnv2

Deformable Convolutional Networks v2 with Pytorch

deep-learning-demo

:pill: The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

deep-patchmatch

Pre-trained models for our CVPR 2016 paper: "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions"

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepdesc-release

Code for the ICCV 2015 paper "Discriminative Learning of Deep Convolutional Feature Point Descriptors"

deeplearning_demo

some demo

deeplearningframeworks

Demo of running NNs across different frameworks

deformable-image-registration-projects

Deformable Image Registration Projects

dfn

doit_cloud

dpmodel

《设计模式之禅》原书源码学习

dynamic-conditional-networks.pytorch

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

em-gaussian

Python code for Expectation-Maximization estimate of Gaussian mixture model

expectation-maximization

Expectation-Maximization (EM) algorithm in Matlab

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn