TensorflowAn Open Source Machine Learning Framework for Everyone
KerasDeep Learning for humans
Awesome Datascience📝 An awesome Data Science repository to learn and apply for real world problems.
RayAn 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.
PwcPapers with code. Sorted by stars. Updated weekly.
TfjsA WebGL accelerated JavaScript library for training and deploying ML models.
DatasetsTFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Artificial Intelligence Deep Learning Machine Learning TutorialsA 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.
Chexnet KerasThis project is a tool to build CheXNet-like models, written in Keras.
ToxicToxic Comment Classification Challenge
Morphl Community EditionMorphL 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 tensorflowImplementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
Grid royaleA life simulation for exploring social dynamics
Fast Weights🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
Change Detection ReviewA 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.
DeepjazzDeep learning driven jazz generation using Keras & Theano!
Deep Learning BookRepository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
MatminerData mining for materials science
MlcppSet of examples of ML approaches implemented in C++
Cnn face detectionImplementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
DarwinexlabsDatasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
CompressaiA PyTorch library and evaluation platform for end-to-end compression research
Orange3🍊 📊 💡 Orange: Interactive data analysis
Good PapersI 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📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
Ml GamesMachine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.
Keras SharpKeras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
InsightRepository for Project Insight: NLP as a Service
Recsys core[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).
Suod(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
PomegranateFast, flexible and easy to use probabilistic modelling in Python.
Monoloco[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing
KerasdeepspeechA Keras CTC implementation of Baidu's DeepSpeech for model experimentation
TorchfusionA modern deep learning framework built to accelerate research and development of AI systems
BlueoilBring Deep Learning to small devices
Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
BertvizTool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
MegnetGraph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Mona lisa eyesA machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.
Deep Learning TinderSimple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).
BackpropagationImplementing multilayer neural networks through backpropagation using Java.
MinidnnA header-only C++ library for deep neural networks
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
BlasjsPure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.