762 Open source projects that are alternatives of or similar to mlreef

A collection of computer vision pre-trained models.

Machine Learning Operator & Controller for Kubernetes

Engine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

All content related to machine learning from my blog

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Portable automation meta-framework to manage, describe, connect and reuse any artifacts, scripts, tools and workflows on any platform with any software and hardware in a non-intrusive way and with minimal effort. Try it using this tutorial to modularize and automate ML Systems benchmarking from the Student Cluster Competition at SC'22:

MXNet bindings for .NET/F#

arcface and retinaface model convert mxnet to onnx.

Reproduce SSH (Single Stage Headless Face Detector) with MXNet

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

A list of popular deep learning models related to classification, segmentation and detection problems

Tengine Convert Tool supports converting multi framworks' models into tmfile that suitable for Tengine-Lite AI framework.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Prepare reproducible R Markdown posters

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Backport of the cross-DB JSONField model and form fields from Django 3.1.

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

Implementing Clustering Algorithms from scratch in MATLAB and Python

Serving PyTorch models with TorchServe 🔥

Polyaxon Core Client & CLI to streamline MLOps

Algorithm engineering is hard enough: don't spend your time with logistics. QA-Board organizes your runs and lets you visualize, compare and share results.

Machine Learning algorithms coded from scratch

🔨 Gitian Building made simpler on any Windows Debian/Ubuntu MacOS with Vagrant, lxc, and virtualbox

Add multilingual support to your laravel 5 models

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Identifying diseases in chest X-rays using convolutional neural networks

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

A Lightweight and Efficient Method for Face Age and Gender Estimation Implemented in MXNet

Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.

FCOS: Fully Convolutional One-Stage Object Detection.

📒 Experiment tracking tool and model registry

An easy-to-use, modular, extendable and absurdly fast Julia package for dynamical billiards in two dimensions.

MLOps Case Study

Mxnet2Caffe_Tensor RT

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

6th place solution

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

Deploy a BinderHub from scratch on Microsoft Azure

FastNN provides distributed training examples that use EPL.

A Collection of GitHub Actions That Facilitate MLOps

This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.

No description or website provided.

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

No description or website provided.

Data Analysis Workflows & Reproducibility Learning Resources

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.