handsonml

Fundamentals of machine learning in python.

SVM Explorer

Interactive SVM Explorer, using Dash and scikit-learn

Rasa

A "machine learning framework to automate text-and voice-based conversations."

Transformers

A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.

ChemicalX

> A PyTorch based deep learning library for drug pair scoring

Microsoft ML for Apache Spark

> A distributed machine learning framework Apache Spark

Shapley

> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.

igel

> A delightful machine learning tool that allows you to train/fit, test and use models **without writing code**

PyTorch Frame

> A Modular Framework for Multi-Modal Tabular Learning.

PyTorch Geometric Temporal

> A temporal extension of PyTorch Geometric for dynamic graph representation learning.

Karate Club

> An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.

PyOD

> Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles.

steppy

> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces a very simple interface that enables clean machine learning pipeline design.

steppy-toolkit

> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.

Couler

Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others).

machine learning

automated build consisting of a [web-interface](https://github.com/jeff1evesque/machine-learning#web-interface), and set of [programmatic-interface](https://github.com/jeff1evesque/machine-learning#programmatic-interface) API, for support vector machines. Corresponding dataset(s) are stored into a S

InterpretML

InterpretML implements the Explainable Boosting Machine (EBM), a modern, fully interpretable machine learning model based on Generalized Additive Models (GAMs). This open-source package also provides visualization tools for EBMs, other glass-box models, and black-box explanations.

DIGITS

The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.

milk

Machine learning toolkit focused on supervised classification. **[Deprecated]**

TFLearn

Deep learning library featuring a higher-level API for TensorFlow.

REP

an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience. **[Deprecated]**

skbayes

Python package for Bayesian Machine Learning with scikit-learn API.

fuku-ml

Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it's easy to use and easy to learn for beginners.

skorch

A scikit-learn compatible neural network library that wraps PyTorch.

mlens

A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.

Thampi

Machine Learning Prediction System on AWS Lambda

StellarGraph

Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.

BentoML

Toolkit for package and deploy machine learning models for serving in production

MiraiML

An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.

JAX

JAX is Autograd and XLA, brought together for high-performance machine learning research.

scikit-multiflow

A machine learning framework for multi-output/multi-label and stream data.

Scipy Tutorials

SciPy tutorials. This is outdated, check out scipy-lecture-notes.

the-elements-of-statistical-learning

This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.

Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Flight Fare Prediction

This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.

Kinho

Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.

NeuralTalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Learning

Learning - Programming Languages

Learning

Learning - Programming Languages

Digital History

Computer-aided scientific investigation of history.

Neuroscience

Study of the nervous system and brain.

libradb

LibraDB is a simple database with less than 1000 lines of code for learning.

w2vgrep

A semantic grep tool using word embeddings to find semantically similar matches. For example, searching for "death" will find "dead", "killing", "murder".

hercules

gaining advanced insights from Git repository history.

gotutor

Online Go Debugger & Visualizer.

typex

Examine Go types and their transitive dependencies, alternatively export results as TypeScript value objects (or types) declaration.

abbreviate

abbreviate is a tool turning long strings in to shorter ones with configurable separators, for example to embed branch names in to deployment stack IDs.