keras-team / autokeras
AutoML library for deep learning
☆9,208Updated 2 months ago
Alternatives and similar repositories for autokeras:
Users that are interested in autokeras are comparing it to the libraries listed below
- Fast and flexible AutoML with learning guarantees.☆3,462Updated last year
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,414Updated last month
- Automated Machine Learning with scikit-learn☆7,762Updated last month
- A Hyperparameter Tuning Library for Keras☆2,877Updated 3 months ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,140Updated 8 months ago
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,660Updated 4 months ago
- Deep learning library featuring a higher-level API for TensorFlow.☆9,618Updated 10 months ago
- Visualizations for machine learning datasets☆7,363Updated last year
- TensorFlow's Visualization Toolkit☆6,814Updated last week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,859Updated last week
- An open source python library for automated feature engineering☆7,377Updated last week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,436Updated last year
- A collection of infrastructure and tools for research in neural network interpretability.☆4,687Updated 2 years ago
- A natural language modeling framework based on PyTorch☆6,325Updated 2 years ago
- Deep Reinforcement Learning for Keras.☆5,541Updated last year
- TensorFlow-based neural network library☆9,826Updated 3 weeks ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,935Updated 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…☆5,807Updated 9 months ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,788Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆8,680Updated last week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,011Updated this week
- Fit interpretable models. Explain blackbox machine learning.☆6,419Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆5,980Updated last month
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,362Updated last month
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,334Updated 4 years ago
- Google Brain AutoML☆6,319Updated last week
- A very simple framework for state-of-the-art Natural Language Processing (NLP)☆14,100Updated this week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,676Updated this week
- This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to …☆8,944Updated 5 years ago
- Build Graph Nets in Tensorflow☆5,378Updated 2 years ago