1515 Open source projects that are alternatives of or similar to XLearning-GPU

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

Resource scheduling and cluster management for AI

AI on Hadoop

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

GPGPU Javascript library 🐸

stdgpu: Efficient STL-like Data Structures on the GPU

High-performance TensorFlow library for quantitative finance.

R interface to use GPU's

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

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

Paperspace API for python

Fork of CUDA GPU memtest 👓

Vulkan compute for people

Particle-in-Cell Simulations for the Exascale Era ✨

High-performance Bayesian Data Analysis on the GPU in Clojure

The write-once-run-anywhere GPGPU library for Rust

Deep.Net machine learning framework for F#

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Concurrent CPU-GPU Programming using Task Models

Setup and customize deep learning environment in seconds.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A collection of Audio and Speech pre-trained models.

Deep Learning Benchmarking Suite

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A curated list of awesome Distributed Deep Learning resources.

AI动力(AI Power) GPU云平台使用指南

An efficient C++17 GPU numerical computing library with Python-like syntax

List of Deep Learning Cloud Providers

Visualizer for neural network, deep learning, and machine learning models

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

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

Fast Clojure Matrix Library

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

An easy way to deploy your Akka services to a distributed environment.

GPGPU microprocessor architecture

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

CUDA integration for Python, plus shiny features

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

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

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

Squeeze-and-Excitation Networks

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

convert model from mxnet to caffe without lossing precision

Deep Learning GPU Training System

《深度学习与计算机视觉》配套代码

face detection and alignment with mtcnn

A REST API for Caffe using Docker and Go

arcface and retinaface model convert mxnet to onnx.

A high-performance distributed deep learning system targeting large-scale and automated distributed training.

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Mxnet2Caffe_Tensor RT

CNN model inference benchmarks for some popular deep learning frameworks

A stream processing framework for high-throughput applications.

A showcase for Proto.Actor - an ultra-fast distributed actors solution for Go, C#, and Java/Kotlin.

BriefMatch real-time GPU optical flow

Generalized and Efficient Blackbox Optimization System [SIGKDD'21].

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python