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.
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
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.
Deep Learning BookRepository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
PsiPlatform for Situated Intelligence
DarwinexlabsDatasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
DeeppicarDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
DatascienceCurated list of Python resources for data science.
SportsipyA free sports API written for python
EchotorchA Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Prodigy Recipes🍳 Recipes for the Prodigy, our fully scriptable annotation tool
TengineTengine is a lite, high performance, modular inference engine for embedded device
FiftyoneThe open-source tool for building high-quality datasets and computer vision models
Self Attention CvImplementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
EvostraA fast Evolution Strategy implementation in Python
Catalyst🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Arc Robot VisionMIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
My Awesome Ai BookmarksCurated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
X TransformersA simple but complete full-attention transformer with a set of promising experimental features from various papers
Aidl kbA Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
Dalle PytorchImplementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
KaolinA PyTorch Library for Accelerating 3D Deep Learning Research
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
MahjongaiJapanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)
Game BotArtificial intelligence learn playing any game with watching you.
Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Handtrack.jsA library for prototyping realtime hand detection (bounding box), directly in the browser.
Deepsort🧠 AI powered image tagger backed by DeepDetect
Cheatsheets AiEssential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Aind NlpCoding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
LaleLibrary for Semi-Automated Data Science
Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Thinc🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
AcurustrackA multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.
VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Dm controlDeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
GophernetA simple from-scratch neural net written in Go