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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-graph-llm

A collection of AWESOME things about Graph-Related LLMs.

awesome-language-model-on-graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

clrs

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

eulerformer

[SIGIR 2024] This is the official PyTorch implementation for the paper: "EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention".

gcn

Implementation of Graph Convolutional Networks in TensorFlow

glove

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

graph-mixture-of-experts

[NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Rao Kompella, Zhangyang Wang

graph-rag

Graph based retrieval + GenAI = Better RAG in production

graph_toolformer

hgb

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

lightgcn-implicit-dgl

llama-factory

Unify Efficient Fine-Tuning of 100+ LLMs

llama3

The official Meta Llama 3 GitHub site

llava

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

llm4graph

llmlingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

mad-lab

A MAD laboratory to improve AI architecture designs 🧪

moe-llava

Mixture-of-Experts for Large Vision-Language Models

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

recbole

A unified, comprehensive and efficient recommendation library

recbole2.0

An up-to-date, comprehensive and flexible recommendation library

recommenders

Best Practices on Recommendation Systems

recommendersystem_

rspapers

A Curated List of Must-read Papers on Recommender System.

spidercatfly

Config files for my GitHub profile.

sslrec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"