An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
☆14,355Jul 3, 2024Updated last year
Alternatives and similar repositories for nni
Users that are interested in nni are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- AutoML library for deep learning☆9,319Nov 25, 2025Updated 6 months ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,691Dec 1, 2025Updated 6 months ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,178Updated this week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆42,855Updated this week
- Visualizer for neural network, deep learning and machine learning models☆33,054Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,148Jun 11, 2024Updated 2 years ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆42,478Jun 6, 2026Updated last week
- Fast and Accurate ML in 3 Lines of Code☆10,462Updated this week
- An open source python library for automated feature engineering☆7,653Updated this week
- Resource scheduling and cluster management for AI☆2,687Jun 6, 2024Updated 2 years ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,868Jun 3, 2026Updated last week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,970Updated this week
- Differentiable architecture search for convolutional and recurrent networks☆4,000Jan 3, 2021Updated 5 years ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,336Sep 26, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Google Research☆38,126Updated this week
- Automated Machine Learning with scikit-learn☆8,110Apr 21, 2026Updated last month
- Open standard for machine learning interoperability☆20,951Jun 6, 2026Updated last week
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,913Mar 31, 2023Updated 3 years ago
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆161,518Updated this week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,049Sep 11, 2025Updated 9 months ago
- Open Machine Learning Compiler Framework☆13,452Updated this week
- Fast and flexible AutoML with learning guarantees.☆3,456Nov 30, 2023Updated 2 years ago
- Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.☆34,539Jun 7, 2026Updated last week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆26,338Jun 5, 2026Updated last week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,442Updated this week
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,536Apr 9, 2024Updated 2 years ago
- A hyperparameter optimization framework☆14,349Updated this week
- OpenMMLab Detection Toolbox and Benchmark☆32,752Aug 21, 2024Updated last year
- Automated deep learning algorithms implemented in PyTorch.☆1,579Apr 24, 2022Updated 4 years ago
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,806Aug 7, 2025Updated 10 months ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,786Updated this week
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,707Jun 3, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆32,233Sep 30, 2025Updated 8 months ago
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,715Updated this week
- Google Brain AutoML☆6,471Mar 2, 2025Updated last year
- Models and examples built with TensorFlow☆77,666Updated this week
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,447Aug 30, 2024Updated last year
- The fastai deep learning library☆28,029May 20, 2026Updated 3 weeks ago
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆100,598Updated this week