sarthakmt

mlops-zoomcamp

Free MLOps course from DataTalks.Club

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

awesome-compose

Awesome Docker Compose samples

gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

hcrystalball

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

fairlearn

A Python package to assess and improve fairness of machine learning models.

explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

interpretable-ml-book

Book about interpretable machine learning

TFLite-Flutter

seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

docker-python-deep-learning

A container for Deep Learning with Python 3

pegasus

DeepLearningForTimeSeriesForecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

tensorflow-crash-course

For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.

keras-tcn

Keras Temporal Convolutional Network.

TCN

Sequence modeling benchmarks and temporal convolutional networks

AE_ts

Auto encoder for time series

keras-autoencoders

Autoencoders in Keras

latent-space-discovery

Noble self-supervised adversarial auto-encoder is proposed to extract biologically relevant genes from cancer transcriptomes.

t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

scikit-posthocs

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

sktime

A unified framework for machine learning with time series

pycaret

An open-source, low-code machine learning library in Python

FrEIA

Framework for Easily Invertible Architectures

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

NNfSiX

Neural Networks from Scratch in various programming languages

machine_learning_interpretability_papers

This is a public collection of papers related to machine learning model interpretability.

nni

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

nlp-recipes

Natural Language Processing Best Practices & Examples