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

A C++ Compute/Graphics Library and Toolchain enabling same-source CUDA/Host/Metal/OpenCL/Vulkan C++ programming and execution.

How to use TensorFlow

A JVM-embeddable Distributed Database

Distributed web chat application base websocket built on akka.

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

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):

Make usage of Metal API a pleasure

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

List of articles related to deep learning applied to music

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

BigBen - a generic, multi-tenant, time-based event scheduler and cron scheduling framework

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

cuML - RAPIDS Machine Learning Library

HDLTex: Hierarchical Deep Learning for Text Classification

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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

Open-source framework to detect outliers in Elasticsearch events

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

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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

Distributed, masterless, high performance, fault tolerant data processing

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

Burstcoin C++ CPU and GPU Miner

Season 2 of @twosigma's artificial intelligence programming challenge

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

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

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

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

Various ML/DL Resources organised at a single place.

Deforming kernels to adapt towards object deformation. In ICLR 2020.

Implementation of character based convolutional neural network

CDF SIG MLOps

🚀构建分布式即时聊天、消息推送系统。 Building distributed instant messaging, push notification systems.

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

QUDA is a library for performing calculations in lattice QCD on GPUs.

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

Sparse Optimisation Research Code

NCCL Tests

Realtime calculation distributed system. AKA distributed lodash

JCuda - Java bindings for CUDA

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Lingvo

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Archived - not answering issues

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

A Neural Network Toolkit.

Distributed compute platform implemented in Rust, and powered by Apache Arrow.

Build and run Docker containers leveraging NVIDIA GPUs

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Batch normalization fusion for PyTorch

A privacy-aware, distributed, open source social network.

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

♒︎ [WIP] An experimental ~distributed~ commit-log