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An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Coursera Deep Learning Specialization ⭐ 2,459

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Hyperparameter_hunter ⭐ 635

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Parallel Hyperparameter Tuning in Python

Deeplearning.ai Notes ⭐ 271

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Library for automatic retraining and continual learning

Auptimizer ⭐ 195

An automatic ML model optimization tool.

Sentence Classification ⭐ 180

Sentence Classifications with Neural Networks

Adatune ⭐ 144

Gradient based Hyperparameter Tuning library in PyTorch

Clsurvey ⭐ 61

Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.

Tfestimators ⭐ 59

R interface to TensorFlow Estimators

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Naturalselection ⭐ 16

A general-purpose pythonic genetic algorithm.

Dl4j Rnn Timeseries Examples ⭐ 15

An example of DL4J's Recurrent Neural Networks applied to timeseries data

Cs230_dl ⭐ 13

♊ Stanford CS230 : Deep Learning

Neuralnets ⭐ 11

🤖 bare-bones implementation of a neural network with numpy

Hypernomad ⭐ 10

A library for the hyperparameter optimization of deep neural networks

Coursera Deep Learning Specialization ⭐ 7

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..

Neurosymbolic Tinyml ⭐ 5

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

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