8148 Open source projects that are alternatives of or similar to Deep Learning In Production

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

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Multiple implementations for abstractive text summurization , using google colab

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

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

Learn OpenCV : C++ and Python Examples

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

All For NLP, especially Chinese.

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.

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

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

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

3D U-Net model for volumetric semantic segmentation written in pytorch

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

This repository consists of all my Machine Learning Projects.

AI on Hadoop

Data augmentation for NLP

The repository provides usefull python scripts for ML and data analysis

📓 deepleaning and cv notes.

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)

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

Simplest and fastest image and text annotation tool.

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Demo applications showcasing DJL

Zero Infrastructure Password Cracking

Container, Monitoring & Logging, Cloud & DevOps Tutorials and Labs

CNN image classifier implemented in Keras Notebook 🖼️.

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

SciPy 2017 Pandas Tutorial

Anomaly detection tutorial on univariate time series with an auto-encoder

An awesome semantic segmentation model that runs in real time

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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

Kaggle Data Science Bowl 2018

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

Manage your application processes in production hassle-free like Heroku CLI with Procfile and Systemd

코딩셰프의 3분 딥러닝, 케라스맛

Satellite Image Classification using semantic segmentation methods in deep learning

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

Easily find and view pre-trained AI models and deep learning projects through the command line 💻

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Resource scheduling and cluster management for AI

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

Official Python SDK for Hyperdash

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

Season 2 of @twosigma's artificial intelligence programming challenge

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.

Deep Reinforcement Learning for de-novo Drug Design

Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

Visualizer for neural network, deep learning, and machine learning models