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Important machine learning / deep learning / Image Processing resources. blogs | courses | articles | tutorials | repositories | books | competition links
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Diff tool for Windows/Linux implemented in C++
Elektrobit Workshop Neural Networks
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Google Research
A small course on exploiting and defending neural networks
Jarvis Assisant is Virtual Assistant to do basic task
Jarvis AI is a Python Module which is able to perform task like Chatbot, Assistant etc. It provides base functionality for any assistant application. This JarvisAI is built using Tensorflow, Pytorch, Transformers and other opensource libraries and frameworks.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Jupyter Notebooks and some Python code related to machine learning (Bayesian-Linear-Regression, Gaussian-Processes)
Repository containing notebooks of my posts on Medium
Models and examples built with TensorFlow
Source Code for the ICML 2020 Paper on Uncertainty & Robustness in Deep Learning
This is the notebook associated with the blog post:
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
The "Python Machine Learning (2nd edition)" book code repository and info resource
The "Python Machine Learning (3rd edition)" book code repository
Quick Scoring Platform for Data Science and Artificial Intelligence
Udacity Self-Driving Car Engineer Nanodegree projects.
A unified approach to explain the output of any machine learning model.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Build 12 Data Apps in Python with Streamlit
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Sharing examples, demos showcased in the tech-quantum blogs
TensorFlow Tutorials with YouTube Videos
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.