7093 Open source projects that are alternatives of or similar to Introtodeeplearning

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

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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

TensorFlow and Deep Learning Tutorials

Repo for the Deep Reinforcement Learning Nanodegree program

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

Grokking Deep Reinforcement Learning

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

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

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

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.

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Translations of TensorFlow documentation

links to conference publications in graph-based deep learning

RAD: Reinforcement Learning with Augmented Data

Codes for weekly challenges on Deep Learning by Siraj

DrQ: Data regularized Q

RLgraph: Modular computation graphs for deep reinforcement learning

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

pytorch 包教不包会

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Plain python implementations of basic machine learning algorithms

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

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

🐵 An AI chess-board-game framework(by many programming languages) implementations.

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.

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.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

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

Machine Learning Practical course repository

Action recognition using soft attention based deep recurrent neural networks

Tutorials for TensorFlow APIs the official documentation doesn't cover

Probabilistic reasoning and statistical analysis in TensorFlow

Collection of notebooks about quantitative finance, with interactive python code.

Image augmentation library in Python for machine learning.

TensorFlow 2.0 Various notes and tutorials

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

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

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

How to use TensorLayer

Deep Learning Projects that Build Themselves

Real-time portrait segmentation for mobile devices

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

Predict chessboard FEN layouts from images using TensorFlow

Keras tutorial for beginners (using TF backend)

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Multiple implementations for abstractive text summurization , using google colab

Contains my explorations of TensorFlow 2.x

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

A simple probabilistic programming language.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

A one-stop repository for low-code easily-installable object detection pipelines.