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Search results for docker machine learning
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A curated list for awesome kubernetes sources 🚢🎉
Open Machine Learning Course
Open source annotation tool for machine learning practitioners.
An Industrial Grade Federated Learning Framework
Containers for machine learning
PipelineAI Kubeflow Distribution
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Build data pipelines, the easy way 🛠️
Serve, optimize and scale PyTorch models in production
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
NLP made easy
Interactive Go programming with Jupyter
🏕️ Reproducible development environment for AI/ML
A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
Elyra extends JupyterLab with an AI centric approach.
Open Source ML Model Versioning, Metadata, and Experiment Management
☁️ 🚀 📊 📈 Evaluating state of the art in AI
Machine Learning Platform and Recommendation Engine built on Kubernetes
The collaboration workspace for Machine Learning
Awesome Ai Ml Dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Message Passing Neural Networks for Molecule Property Prediction
Bmw Tensorflow Training Gui
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
Open source audio annotation tool for humans
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
A Julia wrapper for TensorFlow
A Redis module for serving tensors and executing deep learning graphs
Chrome extension to flag fake news on Facebook. Built at HackPrinceton '16
Data compression in TensorFlow
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Submarine is Cloud Native Machine Learning Platform.
Compilation of Dockerfiles with automated builds enabled on the Docker Registry
Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
Grokking Deep Reinforcement Learning
Php Opencv Examples
Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
Docker for Your ML/DL Models Based on OCI Artifacts
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.
Sagemaker Training Toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
MLOps for AWS SageMaker
A collection of online resources to help you on your Tech journey.
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Reward Learning Rl
[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering
open-source MLOps platform
OpenML AutoML Benchmarking Framework
Command line tool for improving typing skills (programmers friendly)
A Machine Learning System for Data Enrichment.
Simple and flexible ML workflow engine
Airsim Neurips2019 Drone Racing
Drone Racing @ NeurIPS 2019, built on Microsoft AirSim
MLOps tutorial using Python, Docker and Kubernetes.
Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.
Cookiecutter template for FastAPI projects using: Machine Learning, Poetry, Github Actions and Pytests
Post Tuto Deployment
Build and deploy a machine learning app from scratch 🚀
Sagemaker Inference Toolkit
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.
Repository for Project Insight: NLP as a Service
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
👩🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure
Cookiecutter Docker Science
Cookiecutter template for data scientists working with Docker containers
Tensorflow Ml Nlp Tf2
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
Bring Deep Learning to small devices
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
Applied Reinforcement Learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Machine Learning Deployment
Launch machine learning models into production using flask, docker etc.
🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
Global-Locally Self-Attentive Dialogue State Tracker
ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
Dockerfile for multiple machine learning tools.
A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL
🔓 🔑 🔐 Origami: Artificial Intelligence as a Service
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
A platform for end-to-end development of machine learning solutions in biomedical imaging
Docker images for fastai
An unofficial Microsoft Machine Learning Server Docker image.
.NET Labs -- Show Me the Tips and Tricks and Code
Entrypoint for all backend cape webservices
Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.
Book Ml Sem
《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
Datamining And Social Sentiment Analysis Based On Weibo
A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving
Ds100 Textbook Zh
📖 [译] UCB DS100 数据科学的原理与技巧
XenonPy is a Python Software for Materials Informatics
MLSpace: Hassle-free machine learning & deep learning development
Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.
Scipy 2017 Cython Tutorial
Material for the SciPy 2017 Cython tutorial
Deep learning GUI frame work for enterprise
Spark Mllib Twitter Sentiment Analysis
🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
Katana project is a FastAPI template for ASAP 🚀 ML API deployment
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