767 Open source projects that are alternatives of or similar to Serving

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

Data compression in TensorFlow

OneFlow is a performance-centered and open-source deep learning framework.

An Engine-Agnostic Deep Learning Framework in Java

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

Data-centric declarative deep learning framework

Deep Learning Toolkit for Medical Image Analysis

An Open Source Machine Learning Framework for Everyone

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

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

This is Andrew NG Coursera Handwritten Notes.

Arm Machine Learning tutorials and examples

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

Python Library for Model Interpretation/Explanations

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

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

Open standard for machine learning interoperability

Toolkit to Hack Your Deep Learning Models

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

PyTorch implementation of the YOLO (You Only Look Once) v2

List of awesome resources for machine learning-based algorithmic trading

Experimental keras implementation of novel neural network structures

Gorgonia is a library that helps facilitate machine learning in Go.

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

speech to text benchmark framework

Grakn Knowledge Graph Library (ML R&D)

A scalable inference server for models optimized with OpenVINO™

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

A Scala feature transformation library for data science and machine learning

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

💻 Learn to code by building projects (old site!)

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

📎 Summaries of papers on deep learning

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

Hierarchical Object Detection with Deep Reinforcement Learning

Compute Library for Deep Neural Networks (clDNN)

TensorFlow documentation

Deep neural models for core NLP tasks (Pytorch version)

Neural Network TensorFlow C API

Self-hosted IPTV/NVR/CCTV/Video service (Community version)

A pytorch adversarial library for attack and defense methods on images and graphs

Learning Apache spark,including code and data .Most part can run local.

The most cited deep learning papers

Named Entity Recognition using multilayered bidirectional LSTM

The Tensor Algebra SuperOptimizer for Deep Learning

A higher-level Neural Network library for microcontrollers.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A curated list of references for MLOps

This is an open sourced book on deep learning.

RMDL: Random Multimodel Deep Learning for Classification

Rumale is a machine learning library in Ruby

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

U-Net: Convolutional Networks for Biomedical Image Segmentation

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Computer vision based ML training data generation tool 🚀

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Predictive AI layer for existing databases.