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/NExT-Chat
NExT-Chat: An LMM for Chat, Detection and Segmentation
tmukande-debug/Adan-pytorch
Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
tmukande-debug/Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
tmukande-debug/awesome-llm-powered-agent
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
tmukande-debug/Awesome-LLM4RS-Papers
Large Language Model-enhanced Recommender System Papers
tmukande-debug/ETRec
tmukande-debug/FAHM
tmukande-debug/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
tmukande-debug/FHT-MB
tmukande-debug/godot
Godot Engine – Multi-platform 2D and 3D game engine
tmukande-debug/harikanani.github.io
🔥 The Complete Customizable Software Developer Portfolio Template which lets you showcase your work and provides each and every detail about you as Software Developer.
tmukande-debug/langchain
⚡ Building applications with LLMs through composability ⚡
tmukande-debug/Language-Specific-Neurons
tmukande-debug/LLM-Blender
[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the weaknesses through ranking and integrate the strengths through fusing generation to enhance the capability of LLMs.
tmukande-debug/LLMs-as-Zero-Shot-Conversational-RecSys
Evaluation data, LLMs query code and results for "Large Language Models as Zero-Shot Conversational Recommenders" on CIKM 2023.
tmukande-debug/Macaw-LLM
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
tmukande-debug/mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
tmukande-debug/MoA
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
tmukande-debug/ModuleFormer
ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters.
tmukande-debug/moe_attention
Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
tmukande-debug/neo4j
Graphs for Everyone
tmukande-debug/NExT-GPT
Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model
tmukande-debug/prompt2model
prompt2model - Generate Deployable Models from Natural Language Instructions
tmukande-debug/PyTEI
PyTEI: A User-friendly, Efficient, and Flexible Hardware Error Injection Framework for PyTorch
tmukande-debug/qat
QAT is a quantum compiler and runtime focused on low-level, just-above-driver integration.
tmukande-debug/RecoEngine
tmukande-debug/scattermoe
Triton-based implementation of Sparse Mixture of Experts.
tmukande-debug/tmukande
tmukande-debug/Website
tmukande-debug/website-templates
150+ HTML5 Website Templates