Stars
🤗 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.
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.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
A curated list of community detection research papers with implementations.
Graph Neural Networks with Keras and Tensorflow 2.
Conditional GAN for generating synthetic tabular data.
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.
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
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