6627 Open source projects that are alternatives of or similar to Food 101 Keras

CNN image classifier implemented in Keras Notebook 🖼️.

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.

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

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

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

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。

Data augmentation for NLP

All For NLP, especially Chinese.

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

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

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

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

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.

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

A collection of materials to help you learn about deep learning

machine learning

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

Pytorch implementation of the DeepDream computer vision algorithm

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.

Learn OpenCV : C++ and Python Examples

Google Research

Generating multiple choice questions from text using Machine Learning.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

High-performance Vision library in Python. Scale your research, not boilerplate.

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

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

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

Deep learning codes and projects using Python

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

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

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

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

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

猫狗大战

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

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

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

Aulas da Escola de Inteligência Artificial de São Paulo

A machine learning experiment

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

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

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

Official Python SDK for Hyperdash

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A Deep Learning based project for creating line art portraits.

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

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/

Multiple implementations for abstractive text summurization , using google colab

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

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

Object classification with CIFAR-10 using transfer learning

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

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

Deep Learning Computer Vision Algorithms for Real-World Use

Efficient Learning of Augmentation Policy Schedules

Code, exercises and tutorials of my personal blog ! 📝