1966 Open source projects that are alternatives of or similar to My Awesome Ai Bookmarks

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Curated list of Python resources for data science.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

常用数据结构及其算法的Java实现，包括但不仅限于链表、栈，队列，树，堆，图等经典数据结构及其他经典基础算法(如排序等)...

Self-contained Machine Learning and Natural Language Processing library in Go

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Courses, Articles and many more which can help beginners or professionals.

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

[UNMAINTAINED] Automated machine learning for analytics & production

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Deep Reinforcement Learning Framework + Algorithms

Deep Learning Projects that Build Themselves

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Algorithms Tutorial

deeplearning.ai , By Andrew Ng, All video link

NOKIA Book covers selected aspects of the telecommunication industry programmer's work

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Voice Activity Detection based on Deep Learning & TensorFlow

Easy Real time gender age prediction from webcam video with Keras

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Grokking Deep Reinforcement Learning

List of Deep Learning Cloud Providers

Library of generic and type safe containers in pure C language (C99 or C11) for a wide collection of container (comparable to the C++ STL).

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

Gorgonia is a library that helps facilitate machine learning in Go.

Multiple implementations for abstractive text summurization , using google colab

A complete framework for Godot to create beautiful and complex AI motion. Works both in 2D and in 3D.

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

💬 Machine Learning Course with Python:

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

周志华《机器学习》手推笔记

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

A curated list of awesome engineering ecosystem, including UNAM Projects

A curated list of interesting tech blogs

List of Data Science and Machine Learning Resource that I frequently use

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A selection of state-of-the-art research materials on decision making and motion planning.

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Multi-class confusion matrix library in Python

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Notes for Deep Learning Specialization Courses led by Andrew Ng.

machine learning and deep learning tutorials, articles and other resources

收录开源的经典技术书籍 PDF 文件及相关网站，持续更新中...

A single-page website aiming to provide innovative and intuitive visualizations of common and AI algorithms.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

yet another custom data science template via cookiecutter

This repository contains notes and projects of Data scientist track from dataquest course work.

Data-centric declarative deep learning framework

Code for Java Deep Learning Cookbook

List of articles related to deep learning applied to music