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Assignments for the current iteration of COGS108.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Class notes for CS 131.
Deep Learning Specialization by Andrew Ng on Coursera.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A paper list of object detection using deep learning.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Demo of running NNs across different frameworks
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Instructions for setting up the software on your deep learning machine
Essential Guide to keep up with AI/ML/CV/UNameIt
Faster RCNN with PyTorch
Fully convolutional networks for semantic segmentation
Dense image labeling in Caffe
Make huge neural nets fit in memory
this repository accompanies my forthcoming book "Grokking Deep Learning"
Lecture materials for UCSD Cognitive Science (COGS) 108, Data Science in Practice.
Plain python implementations of basic machine learning algorithms
A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Pen and paper exercises in machine learning
A collection of video resources for machine learning
Open MMLab Detection Toolbox
Paper list and source code for multi-object-tracking
NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
Andrew Ng's machine learning course implemented in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.