microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
☆14,179Updated 10 months ago
Alternatives and similar repositories for nni:
Users that are interested in nni are comparing it to the libraries listed below
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,459Updated 2 weeks ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,651Updated last week
- A library for efficient similarity search and clustering of dense vectors.☆34,661Updated this week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,933Updated this week
- Open standard for machine learning interoperability☆18,875Updated last week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,645Updated 3 weeks ago
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆14,211Updated 8 months ago
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆29,384Updated last week
- Google Brain AutoML☆6,356Updated 2 months ago
- Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.☆16,098Updated last year
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,008Updated this week
- Visualizer for neural network, deep learning and machine learning models☆30,092Updated this week
- AutoML library for deep learning☆9,228Updated 4 months ago
- Facebook AI Research Sequence-to-Sequence Toolkit written in Python.☆31,390Updated 3 months ago
- An open-source NLP research library, built on PyTorch.☆11,844Updated 2 years ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆12,251Updated this week
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆15,816Updated last year
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,561Updated last week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,882Updated last week
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆34,001Updated last week
- A hyperparameter optimization framework☆11,869Updated this week
- Google Research☆35,463Updated this week
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.☆10,130Updated 11 months ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,440Updated last year
- Open Source Neural Machine Translation and (Large) Language Models in PyTorch☆6,868Updated 2 months ago
- Serve, optimize and scale PyTorch models in production☆4,315Updated last week
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆9,167Updated last year
- 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.☆14,923Updated 2 years ago
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,084Updated 10 months ago
- 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools☆20,059Updated last week