거꾸로 읽는 SSL 시즌3 - VLM

거꾸로 읽는 self-supervised learning in NLP

거꾸로 읽는 SSL 시즌3 - VLM

거꾸로 읽는 self-supervised learning 파트 1

거꾸로 읽는 self-supervised learning 파트 1

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

A Survey

[Zoom & Facebook Live] Weekly AI Arxiv 시즌2

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Graph Neural Network Library for PyTorch

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Graph Neural Networks for Social Recommendation, WWW'19

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.

A universal time series representation learning framework

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A hyperparameter optimization framework

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

The PyTorch implementation of LightGCN

Best Practices on Recommendation Systems