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

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

MLBox is a powerful Automated Machine Learning python library.

Generate beautiful documentation for your data pipelines in markdown format

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Deployment template for a continuous training pipeline.

Modern WebGL state wrapper for PEX: allocate GPU resources (textures, buffers), setup state pipelines and passes, and combine them into commands.

Open solution to the Toxic Comment Classification Challenge

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

A stream processing framework for high-throughput applications.

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

The open big data serving engine. https://vespa.ai

ILGPU JIT Compiler for high-performance .Net GPU programs

Go Implementation of the Spacemesh protocol full node. 💾⏰💪

Through this configuration, no per voxel data is transferred between the GPU and the CPU at runtime.

piper - a distributed workflow engine

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

MBPMid2010_GPUFix is an utility program that allows to fix MacBook Pro (15-inch, Mid 2010) intermittent black screen or loss of video. The algorithm is based on a solution provided by user fabioroberto on MacRumors forums.

Kashti is a dashboard for your Brigade pipelines.

ArrayFire: a general purpose GPU library.

Curated Tensorflow code resources to help you get started with Deep Learning.

Train a state-of-the-art yolov3 object detector from scratch!

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

Dimensional charting built to work natively with crossfilter rendered using d3.js

The C++ parallel algorithms library.

Neural networks training pipeline based on PyTorch

🚀 the Mixin TEE-BFT-DAG network reference implementation

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

The New Official Aparapi: a framework for executing native Java and Scala code on the GPU.

This repository contains information about Cloud GPU offerings for Machine Learning practitioners.

A simple realtime graphics playground for experimentations.

CUDA programming in Julia.

High-performance Bayesian Data Analysis on the GPU in Clojure

🌊 Fast and friendly fluid dynamics on CPUs and GPUs

How to: Run Rust code on your NVIDIA GPU

macOS system monitor in your menu bar

Tool that predicts the outcome of a Dota 2 game using Machine Learning

Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Cloud Native pipelines from Tekton

Android GPU Inspector

DiffSharp: Differentiable Functional Programming

Fast and flexible AutoML with learning guarantees.

This library apply video filter on generate an Mp4 and on ExoPlayer video and Video Recording with Camera2.

↙️ ↘️ An R package for working with causal directed acyclic graphs (DAGs)

Cross-platform GPU-oriented C++ application/game framework

cuDF - GPU DataFrame Library

Next-generation HTML renderer for apps and games

A Python framework for creating reproducible, maintainable and modular data science code.

A collection of GICP-based fast point cloud registration algorithms

GPGPU Javascript library 🐸

Thin C++-flavored wrappers for the CUDA Runtime API

Training deep learning models on AWS and GCP instances

phi: gpu accelerated code-editor; definitely not to be confused phonetically with vi.

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python

Flow-Based Programming framework for Elixir

Python bindings for ArrayFire: A general purpose GPU library.

RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.

OCaml bindings for PyTorch

High-level Deep Learning Framework written in Kotlin and inspired by Keras

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Grokking Deep Reinforcement Learning