🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Deep Learning for humans

The official Meta Llama 3 GitHub site

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

PlaidML is a framework for making deep learning work everywhere.

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Keras documentation, hosted live at keras.io

A curated list of community detection research papers with implementations.

Graph Neural Networks with Keras and Tensorflow 2.

A Python package for manipulating 2-dimensional tabular data structures

Conditional GAN for generating synthetic tabular data.

Tutorials and training material for the H2O Machine Learning Platform

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

Fuzzy Logic SciKit (Toolkit for SciPy)

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

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.

Metrics to evaluate quality and efficacy of synthetic datasets.

Evaluate real and synthetic datasets against each other

Materials for blogs and conferences

Implementation of MoNet (mixture model CNN) and GAT (Graph Attention Network) tested on MNIST and Cora datasets using Tensorflow 2.0.

Computational experiments for the paper "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost" (IJCNN 2021)

RanCoord is a Python package for random sampling of geographic coordinates

Loads and prepares screw driving data from various experiments

A simple preprocessing method for Machine Learning

Real-Time Simulation tool for IMU sensors