6821 Open source projects that are alternatives of or similar to Deep Learning Notes

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

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

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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)

Deep learning codes and projects using Python

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

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.

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

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

Grokking Deep Reinforcement Learning

Support content for my blog

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

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Daily Dose of Neural Network that Everyone Needs

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.

brief introduction to Python for neural networks

TensorFlow-based neural network library

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

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

60_Days_RL_Challenge中文版

Fast and Easy Infinite Neural Networks in Python

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Research on Texas Hold'em AI

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

A collection of deep learning models implemented in PyTorch

Implementing YOLO using ResNet as the feature extraction network

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Koç University deep learning framework.

Books, papers and links to latest research in ML/AI

People removal in images using Pix2Pix and YOLO.

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Best Practices on Recommendation Systems

Datasets, tools, and benchmarks for representation learning of code.

Code for "A-NICE-MC: Adversarial Training for MCMC"

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Machine Learning for High Energy Physics.

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

All my experiments with AI and ML

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

Implementation of simple autoencoders networks with Keras

A tool for automatic phoneme transcription

Allstate Kaggle Competition ML Capstone Project

Data augmentation for NLP

CNN image classifier implemented in Keras Notebook 🖼️.

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

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Time Series Forecasting Best Practices & Examples

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

Notebook for my medium article about how to use Dataset API in TensorFlow

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Collection of Artificial Intelligence projects.

Avalanche: a End-to-End Library for Continual Learning.

Continual Learning tutorials and demo running on Google Colaboratory.

Log Anomaly Detection - Machine learning to detect abnormal events logs