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.
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
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 Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Platform for Situated Intelligence
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
a delightful machine learning tool that allows you to train, test, and use models without writing code
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Curated list of Python resources for data science.
A free sports API written for python
A 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.
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Tengine is a lite, high performance, modular inference engine for embedded device
The open-source tool for building high-quality datasets and computer vision models
Self Attention Cv
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
A fast Evolution Strategy implementation in Python
🚀 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 Vision
MIT-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 Bookmarks
Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
A simple but complete full-attention transformer with a set of promising experimental features from various papers
A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
A PyTorch Library for Accelerating 3D Deep Learning Research
Transfer Learning Suite
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)
Artificial intelligence learn playing any game with watching you.
Vanilla 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.
A library for prototyping realtime hand detection (bounding box), directly in the browser.
🧠 AI powered image tagger backed by DeepDetect
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
Traffic Sign Detection
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Library for Semi-Automated Data Science
Atari Model Zoo
A 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.
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
A 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.
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
A simple from-scratch neural net written in Go