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A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
MedicalZoo PyTorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
medical-image-segmentation volumetric-segmentation medical-image-proccessing deep-learning
An ergonomic machine learning API designed for non-technical users.
automl libra machine-learning code
Simple Python API for ML project
A simple script to create machine learning API in python.
api machine-learning python flask
Otto makes machine learning an intuitive, natural language experience.
automl assistant code neural-networks
Colab-cli - sync jupyter notebooks with colab notebooks.
Experience better workflow with google colab, local jupyter notebooks and git.You can now easily manage working with jupyter notebooks and google colab ...
notebook git machine-learning deep-learning
Machine Learning Toolbox
A curated list of 100+ libraries for all parts of the Machine Learning workflow
machine-learning collection library article
Using Teachable Machine Image Models in Node.js
Teachable Machine Node empowers you to load any image classification model trained with Google's Teachable Machine tool in a Node.Js project.
teachable-machine machine-learning image-classification open-source
AquVitae: The Easiest Knowledge Distillation Library
AquVitae is a Python library that is the easiest to perform Knowledge Distillation through a very simple API. This library supports TensorFlow and PyTorch. ...
tensorflow pytorch light-weight deep-learning
TOMA: Torch Memory-adaptive Algorithms
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory.
training cuda lstm gpu
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