A modular toolbox for meta-learning research with a focus on speed and reproducibility.
BSD-3-CLAUSE License
[UNMAINTAINED] Automated machine learning for analytics & production
OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning ...
Training neural models with structured signals.
Deep-Learning Model Exploration and Development for NLP
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
In this repository, I will share some useful notes and references about deploying deep learning-b...
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
A framework-agnostic deep learning package and experiment manager
A curated list of dedicated resources and applications
TensorFlow and Deep Learning Tutorials
Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.
Deep Reinforcement Learning for Keras.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.