Going through the Mojo programming language manual

Deep learning-based outlier/anomaly detection

[PGAI@CIKM 2023] PyTorch Implementation of LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

A list of awesome papers and resources of recommender system on large language model (LLM).

A python library for user-friendly forecasting and anomaly detection on time series.

Hands-On Graph Neural Networks Using Python, published by Packt

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

This is a dataset of 5G network traffic for use with machine learning tools to benchmark attack detection capabilities for multiple different models. The dataset contains simulated normal and attac…

Sama* is a open-source, Python based simulator for 5G Radio Access Networks (RANs) that supports both downlink and uplink communications between spatially distributed User Equipments (UEs) and arbi…

This repo includes some graph-based CTR prediction models and other representative baselines.

We use our VDEmodel. Our purpose is that predict the distance between car based on Deep-Learning.

❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.

A visual editor for Flutter widgets