7531 Open source projects that are alternatives of or similar to Nn

Machine Learning notebooks for refreshing concepts.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Grokking Deep Reinforcement Learning

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

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

pytorch 包教不包会

🙄 Difficult algorithm, Simple code.

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

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

TensorFlow and Deep Learning Tutorials

A clear, concise, simple yet powerful and efficient API for deep learning.

The implementation of Relativistic average GAN with Keras

Repo for the Deep Reinforcement Learning Nanodegree program

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

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

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.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Applying Data Science and Machine Learning to Solve Real World Business Problems

DCGAN face generator 🧑.

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

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

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

Scalable Implementation of Deep CFR and Single Deep CFR

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.

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

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

machine learning and deep learning tutorials, articles and other resources

Chess reinforcement learning by AlphaGo Zero methods.

A repo for data science related questions and answers

Deploy and scale serverless machine learning app - in 4 steps.

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

An implementation of Pix2Pix in Tensorflow for use with frames from films

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

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

🟣 Object detection of abstract shapes with neural networks

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

DCGAN image generator 🖼️.

PyTorch implementation of Soft Actor-Critic (SAC)

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Anomaly detection for temporal data using LSTMs

StarNet

A journey into Convolutional Neural Network visualization

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

A DCGAN that generate Cat pictures 🐱‍💻

코딩셰프의 3분 딥러닝, 케라스맛

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

A stable algorithm for GAN training

Train an RL agent to localize actively (PyTorch)

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Deep learning codes and projects using Python

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Deep Reinforcement Learning for de-novo Drug Design

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout