Pinned Repositories
Adan-pytorch
Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
anymal-belief-state-encoder-decoder-pytorch
Implementation of the Belief State Encoder / Decoder in the new breakthrough robotics paper from ETH Zürich
attention
This repository will house a visualization that will attempt to convey instant enlightenment of how Attention works to someone not working in artificial intelligence, with 3Blue1Brown as inspiration
autotrain-advanced
🤗 AutoTrain Advanced
awesome-graph-transformer
Papers about graph transformers.
KHGT-Baseline
KHGT, AAAI 2021
MKCGN
NExT-Chat
NExT-Chat: An LMM for Chat, Detection and Segmentation
RSPapers
A Curated List of Must-read Papers on Recommender System.
STMBR
tmukande-debug's Repositories
tmukande-debug/STMBR
tmukande-debug/coordinate-descent-attention
Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk
tmukande-debug/ehnn
[ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
tmukande-debug/GPT-4-LLM
Instruction Tuning with GPT-4
tmukande-debug/Graph_Toolformer
tmukande-debug/Hyperformer
This is the official implementation of our paper "Hypergraph Transformer for Skeleton-based Action Recognition."
tmukande-debug/LayoutGPT
Official repo for LayoutGPT
tmukande-debug/lion-pytorch
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
tmukande-debug/LLM-IMDB
Proof of concept app using LangChain and LLMs to retrieve information from graphs, built with the IMDB dataset
tmukande-debug/LLM4Rec
The repo of Large Lanuage Model (LLM) for recommendation system.
tmukande-debug/LLM4RS
the official implementation of the paper “Uncovering ChatGPT's Capabilities in Recommender Systems”
tmukande-debug/LLMRank
Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
tmukande-debug/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
tmukande-debug/MEGABYTE-pytorch
Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
tmukande-debug/naturalspeech2-pytorch
Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch
tmukande-debug/POPE
The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
tmukande-debug/RecBole
A unified, comprehensive and efficient recommendation library
tmukande-debug/RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
tmukande-debug/ReSeq
[RecSys'23] Code of "Reciprocal Sequential Recommendation."
tmukande-debug/SR-SAN
BlocRecTrans
tmukande-debug/st-moe-pytorch
Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch
tmukande-debug/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
tmukande-debug/STMBR_RecSys
tmukande-debug/t5_p5_recommendation_system
A recommendation system based on a LLM (T5), with the intent on replicating the P5 model
tmukande-debug/TALLRec
tmukande-debug/TextBox
TextBox 2.0 is a text generation library with pre-trained language models
tmukande-debug/Twitter-algorithm
Source code for Twitter's Recommendation Algorithm
tmukande-debug/UniSRec
[KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".
tmukande-debug/vector-quantize-pytorch
Vector Quantization, in Pytorch
tmukande-debug/VQ-Rec
[WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".