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-android-source-code

这是我自己在学习安卓期间，在网上积累下来的源码 ，欢迎交流学习，很多源码已经不能提供具体出处，对作者抱歉，如果有发现自己的代码可以发邮件给我，我会立刻标注上的。

100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100-Days-Of-ML-Code中文版

3d-machine-learning

A learning resource repository for 3D machine learning

android-open-project

Collect and classify android open source projects 微信公众号:codekk 微博:

avc-wizard

Automatically exported from code.google.com/p/avc-wizard

bcnet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

benchmark_results

Visual Tracking Paper List

bitscalabledeephash

The Code of "Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification." IEEE TIP2015

bootstrap-daterangepicker

Date range picker component for Bootstrap

caffe

Caffe: a fast open framework for deep learning.

caffe-cvprw15

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

caffe-deepbinarycode

:star: Supervised Semantics-preserving Deep Hashing (SSDH)

caffe_demos

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

chalmers

clash-rules

🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。

color_restorer

TF2 Keras Implementation of Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images

convexopt

Convex optimization framework for Python

coursera-machine-learning

source from exercises in Coursera.

courses

cp11fall_project1

Implementation of Edge-Preserving Multiscale Image Decomposition Based on Local Extrema

cuda-convnet

Automatically exported from code.google.com/p/cuda-convnet

cuda-convnet-for-hashing

started from Alex's code on google code

cvpr16-deepbit

Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks (CVPR16)

cvxopt

CVXOPT -- Python Software for Convex Optimization

deepdream

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeptraffic

Deep Learning models for network traffic classification

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋