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A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

owl-bt is editor for Behavior trees. It has been inspired by Unreal engine behavior trees in a way, that it supports special node items like decorators and services. This makes trees smaller and much more readable.

🤖 The Cocoa Artificial Intelligence Lab

Food Classification with Deep Learning in Keras / Tensorflow

All my experiments with AI and ML

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

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Lazy, AI chatbot service.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Continual Learning tutorials and demo running on Google Colaboratory.

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

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Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

📎 Summaries of papers on deep learning

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

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Awesome Artificial Intelligence Projects

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Deep Learning Computer Vision Algorithms for Real-World Use

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Gender recognition by voice and speech analysis

A fast Evolution Strategy implementation in Python

Implementation of Conditional Generative Adversarial Networks in PyTorch

A sketch extractor for anime/illustration.

🤖 Chatbot Framework for Node.js.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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🤖A list of resources to help anyone getting started with GANs 🤖

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Action recognition using soft attention based deep recurrent neural networks

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

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最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Little More Advanced TensorFlow Implementations

Code, exercises and tutorials of my personal blog ! 📝

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

List of resources & possible pathway for the Math of Machine Learning and AI.

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"