897 Open source projects that are alternatives of or similar to Awesome Ai Infrastructures

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Notes on Apache Spark (pyspark)

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and FPGAs using deep learning (Tensorflow, Tensorflow lite, TensorRT & OpenVINO). Multi-OS (NVIDIA Jetson, Android, Raspberry Pi, Linux, Windows) and Multi-Arch (ARM, x86).

pyspark methods to enhance developer productivity 📣 👯 🎉

Resources about Artificial General Intelligence

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

AI 算法岗简历模板

AI research environment for the Atari 2600 games 🤖.

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

An End-To-End, Lightweight and Flexible Platform for Game Research

🧠 AI powered image tagger backed by DeepDetect

🌄 Open Source AI Landscape - provides overview of top tier projects in the open source AI ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

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…

Text Classification through CNN, RNN & HAN using Keras

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

Code for my medium article

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

A simple from-scratch neural net written in Go

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

A simple but complete full-attention transformer with a set of promising experimental features from various papers

A PyTorch Library for Accelerating 3D Deep Learning Research

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Implementation of Slot Attention from GoogleAI

Awesome free machine learning and AI courses with video lectures.

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Apache Spark Connector for Azure Cosmos DB

TensorFlow C API Class Wrapper in Server Side Swift.

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Java interface for fastText

Technical blog repo of metaflow

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Pytorch implementation of our CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

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

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Profile and monitor your ML data pipeline end-to-end

Testbed for deep reinforcement learning

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

A full-featured editor for working with Utility-based AI

Autodifferentiation package in Rust.

Simple and Distributed Machine Learning

My personal notes, presentations, and notebooks on everything Deep Learning.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

A Spark Atlas connector to track data lineage in Apache Atlas

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

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

A single-page website aiming to provide innovative and intuitive visualizations of common and AI algorithms.

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)