keras-team / autokeras
AutoML library for deep learning
☆9,111Updated 5 months ago
Related projects: ⓘ
- Automated Machine Learning with scikit-learn☆7,542Updated last week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,158Updated 2 weeks ago
- Fast and flexible AutoML with learning guarantees.☆3,468Updated 9 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,655Updated last month
- TensorFlow's Visualization Toolkit☆6,668Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,200Updated last month
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,447Updated 4 months ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆13,985Updated 2 months ago
- An open source python library for automated feature engineering☆7,196Updated this week
- Visualizations for machine learning datasets☆7,345Updated last year
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,107Updated this week
- TensorFlow-based neural network library☆9,748Updated last month
- Deep universal probabilistic programming with Python and PyTorch☆8,501Updated 3 weeks ago
- A natural language modeling framework based on PyTorch☆6,338Updated last year
- A Hyperparameter Tuning Library for Keras☆2,846Updated last month
- A scikit-learn compatible neural network library that wraps PyTorch☆5,801Updated last week
- The fastai deep learning library☆26,108Updated 3 weeks ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆16,535Updated this week
- A collection of infrastructure and tools for research in neural network interpretability.☆4,652Updated last year
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,805Updated 3 months ago
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,089Updated last week
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,321Updated 3 years ago
- Lime: Explaining the predictions of any machine learning classifier☆11,516Updated last month
- Deep learning library featuring a higher-level API for TensorFlow.☆9,617Updated 4 months ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,409Updated last year
- Trax — Deep Learning with Clear Code and Speed☆8,044Updated last week
- A system for quickly generating training data with weak supervision☆5,785Updated 4 months ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆22,236Updated this week
- A collection of various deep learning architectures, models, and tips☆16,585Updated 7 months ago
- Keras code and weights files for popular deep learning models.☆7,308Updated 3 years ago