ML Ops
Explore 798 open source projects in ML Ops
Showing 721-740 of 798 projects
nnaisense/evotorch
Advanced evolutionary computation library built on PyTorch for AI and machine learning applications.
microsoft/Windows-Machine-Learning
A collection of samples and tools for building AI-powered Windows applications using frameworks like TensorFlow and PyTorch.
jankrepl/deepdow
Portfolio optimization tool using deep learning and PyTorch for finance and wealth management.
PrimeIntellect-ai/prime-rl
An async RL training library for scaling AI model training and deployment.
keroro824/HashingDeepLearning
Codebase for a paper on efficient large-scale deep learning systems using smart algorithms over hardware acceleration.
Lyken17/Efficient-PyTorch
Efficient PyTorch practices for training large datasets
msracver/Relation-Networks-for-Object-Detection
Relation Networks for object detection, a Python library for computer vision tasks.
baidu-research/DeepBench
A benchmarking tool for measuring performance of deep learning operations on different hardware.
pfnet-research/sngan_projection
An open-source PyTorch library for training Generative Adversarial Networks (GANs) with spectral normalization and projection discriminators.
foochane/books
A curated collection of books and resources for various programming languages and technologies, including AI, data, and web development.
steven2358/awesome-blockchain-ai
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
hhaAndroid/mmdetection-mini
A minimalist learning version of the popular mmdetection computer vision library.
LibCity/Bigscity-LibCity
An open-source toolkit for urban spatial-temporal data mining and traffic prediction tasks.
kubernetes-retired/kube-batch
A Kubernetes batch scheduler for high-performance workloads like AI/ML, Big Data, and HPC.
NVlabs/NVAE
Official PyTorch implementation of the NVAE deep hierarchical variational autoencoder for AI and ML developers.
rusty1s/pytorch_sparse
An optimized PyTorch extension for efficient sparse matrix operations with autograd support.
carefree0910/MachineLearning
This repository provides a collection of machine learning algorithms implemented using pure numpy, useful for vibe coders working with AI tools.
ibayer/fastFM
A fast, scalable library for Factorization Machines, a powerful machine learning model for recommendation systems.
mit-han-lab/tinyml
This is a library for running TinyML (Tiny Machine Learning) models on low-power devices like microcontrollers.
rixwew/pytorch-fm
A PyTorch library for building Factorization Machine models for click-through rate prediction tasks.
Stay in the loop
Get weekly updates on trending AI coding tools and projects.