An Open Source Machine Learning Framework for Everyone
Deep Learning for humans
📝 An awesome Data Science repository to learn and apply for real world problems.
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Papers with code. Sorted by stars. Updated weekly.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
This project is a tool to build CheXNet-like models, written in Keras.
Toxic Comment Classification Challenge
Morphl Community Edition
MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization
Speech recognition with tensorflow
Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
A life simulation for exploring social dynamics
🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
Change Detection Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Deep learning driven jazz generation using Keras & Theano!
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Data mining for materials science
Set of examples of ML approaches implemented in C++
Cnn face detection
Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
A PyTorch library and evaluation platform for end-to-end compression research
🍊 📊 💡 Orange: Interactive data analysis
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Computer Vision Guide
Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
Repository for Project Insight: NLP as a Service
[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
Fast, flexible and easy to use probabilistic modelling in Python.
[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
A modern deep learning framework built to accelerate research and development of AI systems
Bring Deep Learning to small devices
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
a delightful machine learning tool that allows you to train, test, and use models without writing code
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Mona lisa eyes
A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.
Deep Learning Tinder
Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).
Implementing multilayer neural networks through backpropagation using Java.
A header-only C++ library for deep neural networks
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python