6323 Open source projects that are alternatives of or similar to Deep Learning Paper Review And Practice

Learn OpenCV : C++ and Python Examples

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Code, exercises and tutorials of my personal blog ! 📝

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

Official Python SDK for Hyperdash

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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

Multiple implementations for abstractive text summurization , using google colab

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

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.

Pytorch implementation of the DeepDream computer vision algorithm

CNN image classifier implemented in Keras Notebook 🖼️.

All For NLP, especially Chinese.

Google Research

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

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Food Classification with Deep Learning in Keras / Tensorflow

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Open Sourced Curriculum and Lessons for an Introductory AI/ML Course

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

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

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

A collection of materials to help you learn about deep learning

Machine learning discord bot , Detects diseases within seconds with just an xray scan

Workshops organized to introduce students to security, AI, AR/VR, hardware and software

Data augmentation for NLP

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.

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

A Deep Learning based project for creating line art portraits.

Generating multiple choice questions from text using Machine Learning.

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Develop production ready deep learning code, deploy it and scale it

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

machine learning

Aulas da Escola de Inteligência Artificial de São Paulo

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

A delightful and complete interface to GitHub's amazing API

Data from the largest and longest measurement of online tracking.

Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

Jupyter notebooks and code examples for my Kaggle Beginners' Guide.

🍇 Edit and execute code snippets in the browser using Jupyter kernels

Jupyter notebooks for the Julia Scientific Programming course on Coursera

"Data Mining in Action Course", Moscow Institute of Physics and Technologies

Try to reproduce FaceShifter

A cute multi-layer LSTM that can perform like a human 🎶

lidc nodule detection with CNN and LSTM network

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。

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