2815 Open source projects that are alternatives of or similar to Java Deep Learning Cookbook

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Multiple implementations for abstractive text summurization , using google colab

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

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Curated Tensorflow code resources to help you get started with Deep Learning.

Artificial Neural Networks for Scala

Collection of stats, modeling, and data science tools in Python and R.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

A Deep-Learning multi-purpose chatbot made using Python3

Simple machine learning library / 簡單易用的機器學習套件

Voice Activity Detection based on Deep Learning & TensorFlow

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

An Interactive Approach to Understanding Deep Learning with Keras

Multi-class confusion matrix library in Python

Apparel detection using deep learning

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

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.

Various methods for generating synthetic data for data science and ML

Debugging, monitoring and visualization for Python Machine Learning and Data Science

🤖 A portable, header-only, artificial neural network library written in C99

deeplearning.ai , By Andrew Ng, All video link

Code for Tensorflow Machine Learning Cookbook

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

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

Yet another neural network library

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

📚 [.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

Lets Learn AI

A simple machine learning framework written in Swift 🤖

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

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…

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

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

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

An open-source, low-code machine learning library in Python

PHP-ML - Machine Learning library for PHP

A high-level machine learning and deep learning library for the PHP language.

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

Learning human driver models from NGSIM data with imitation learning.

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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

Top 200 deep learning Github repositories sorted by the number of stars.

Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.

Reinforcement Learning Cheat Sheet

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

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

🙄 Difficult algorithm, Simple code.

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

Machine Learning in R

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.