1036 Open source projects that are alternatives of or similar to Nano Neuron

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

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.

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

Lets Learn AI

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

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No description or website provided.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

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

Machine learning resources

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

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Log Anomaly Detection - Machine learning to detect abnormal events logs

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A collection of Methods and Models for various architectures of Artificial Neural Networks

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Plant Disease Identification Using Convulutional Neural Network

A simple machine learning framework written in Swift 🤖

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 …

A complete daily plan for studying to become a machine learning engineer.

Daily Dose of Neural Network that Everyone Needs

📚 [.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

model-describer : Making machine learning interpretable to humans

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

A fast xgboost feature selection algorithm

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

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.

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

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

I will update this repository to learn Machine learning with python with statistics content and materials

Makine Öğrenmesi Türkçe Kaynak

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

anomaly detection with anomalize and Google Trends data

Heart Disease prediction using 5 algorithms

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Teach you how to implement machine learning algorithms

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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.

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

🎯 A comprehensive gradient-free optimization framework written in Python

A flexible artificial neural network builder to analyse performance, and optimise the best model.

💬 Machine Learning Course with Python:

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Code for Java Deep Learning Cookbook

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

PHP-ML - Machine Learning library for PHP

Multiple implementations for abstractive text summurization , using google colab

A machine learning toolkit dedicated to time-series data

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

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.