6978 Open source projects that are alternatives of or similar to Daily Neural Network Practice 2

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.

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 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.

Plain python implementations of basic machine learning algorithms

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

Deep learning codes and projects using Python

My personal notes, presentations, and notebooks on everything Deep Learning.

Machine Learning notebooks for refreshing concepts.

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

Support content for my blog

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

Grokking Deep Reinforcement Learning

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

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.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

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

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

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

Multiple implementations for abstractive text summurization , using google colab

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

Keras tutorial for beginners (using TF backend)

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Contains my explorations of TensorFlow 2.x

Repo for the Deep Reinforcement Learning Nanodegree program

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Deep Learning Projects that Build Themselves

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

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

Reimplementation of DRAW

Collection of useful data science topics along with code and articles

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

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

A simple probabilistic programming language.

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Learning to Learn in TensorFlow

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

repo with challenge material for riceteacatpanda (2020)

Efficient Learning of Augmentation Policy Schedules

💫 Industrial-strength Natural Language Processing (NLP) in Python

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Image augmentation library in Python for machine learning.

A collection of Bayesian data analysis recipes using PyMC3

Computations and statistics on manifolds with geometric structures.

Medical Q&A with Deep Language Models

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Monthly Series - Top 10 Machine Learning Articles

darknet neural network addon for openFrameworks

A collection of notebooks for Natural Language Processing from NLP Town

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

🎯 A comprehensive gradient-free optimization framework written in Python

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Build Graph Nets in Tensorflow