1487 Open source projects that are alternatives of or similar to Oneflow

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

An Open Source Machine Learning Framework for Everyone

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

Arm Machine Learning tutorials and examples

Open standard for machine learning interoperability

Distributed SQL Engine in Python using Dask

An ML framework to accelerate research and its path to production.

Toolkit to Hack Your Deep Learning Models

A flexible, high-performance serving system for machine learning models

Data-centric declarative deep learning framework

Python Library for Model Interpretation/Explanations

Application of machine learning to the Coinbase (GDAX) orderbook

A fast Clojure Tensor & Deep Learning library

Framework and Library for Distributed Online Machine Learning

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Deep Learning Toolkit for Medical Image Analysis

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Data compression in TensorFlow

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Fast inference engine for OpenNMT models

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

An Engine-Agnostic Deep Learning Framework in Java

This is Andrew NG Coursera Handwritten Notes.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

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.

Distributed Keras Engine, Make Keras faster with only one line of code.

A JVM-embeddable Distributed Database

Distributed web chat application base websocket built on akka.

PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Sparse and structured neural attention mechanisms

Train and visualize Hierarchical Attention Networks

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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

book.zi5.me全站kindle电子书籍爬取，按照作者书籍名分类，每本书有mobi和equb两种格式，采用分布式进行全站爬取

HDLTex: Hierarchical Deep Learning for Text Classification

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

Coalton is (supposed to be) a dialect of ML embedded in Common Lisp.

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

Binary and Categorical Focal loss implementation in Keras.

a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.

This is a list of awesome articles about object detection from video.

Understanding emotions from audio files using neural networks and multiple datasets.

Season 2 of @twosigma's artificial intelligence programming challenge

Model Serving Made Easy

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

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

A simple GPU hash table implemented in CUDA using lock free techniques

TensorFlow framework for training and serving machine learning models

Various ML/DL Resources organised at a single place.

Implementation of character based convolutional neural network

Simple and Distributed Machine Learning

Appearance-and-Relation Networks

Distributed WebSocket broker