microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
☆14,153Updated 8 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.☆14,423Updated last month
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,067Updated 9 months ago
- A hyperparameter optimization framework☆11,583Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆5,986Updated last week
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,855Updated last month
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,722Updated this week
- AutoML library for deep learning☆9,207Updated 3 months ago
- Open source platform for the machine learning lifecycle☆19,824Updated this week
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆14,715Updated this week
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆29,161Updated this week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,054Updated this week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,919Updated 2 months ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,585Updated this week
- Fast and Accurate ML in 3 Lines of Code☆8,572Updated this week
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,552Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,693Updated last week
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,810Updated 9 months ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆33,563Updated last month
- Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.☆31,541Updated 2 months ago
- Machine learning, in numpy☆15,969Updated last year
- FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.☆26,321Updated last year
- A game theoretic approach to explain the output of any machine learning model.☆23,577Updated this week
- PyTorch3D is FAIR's library of reusable components for deep learning with 3D data☆9,117Updated last week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,437Updated last year
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,435Updated 11 months ago
- A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques☆8,943Updated 2 months ago
- Visualizer for neural network, deep learning and machine learning models☆29,703Updated this week
- Graph Neural Network Library for PyTorch☆22,063Updated this week
- A collection of various deep learning architectures, models, and tips☆16,930Updated last year
- Google Research☆35,151Updated this week