machine-learning

A curated list of data science educational resources for essential data science skills

All the source code for "Robot Learning: A Tutorial". Get involved to be featured in the next iteration!

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime

Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.

Everything you want to know about Google Cloud TPU

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Ressources of histopathology datasets

Machine learning and deep learning resources

A free sports API written for python

Julia Implementation of Transformer models

A flexible, adaptive classification system for dynamic text classification

Platform for Machine Learning projects on Software Engineering

:octocat:🌟 The Ultimate resources for beginner to advanced level projects all in one place 💻 🎯🚀

ParseBench - A Document Parsing Benchmark for AI Agents

A curated collection of public industrial datasets.

Compendium of free ML reading resources

Use ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Module for statistical learning, with a particular emphasis on time-dependent modelling

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

A collection of GNN-based fake news detection models.

DataCamp Project Solutions

組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

A unified interface for optimization algorithms and experiments

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Next-generation Albumentations: dual-licensed for open-source and commercial use