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Kyung Hee University
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Implicit Style-Content Separation using B-LoRA
A collection of resources and papers on Diffusion Models
A library of sklearn compatible categorical variable encoders
VMamba: Visual State Space Models,code is based on mamba
QLoRA: Efficient Finetuning of Quantized LLMs
Annotated version of the Mamba paper
This repository contains related work, benchmarks and datasets for the paper "Large Language Models in Finance (FinLLMs)", currently under review.
Instruct-tune LLaMA on consumer hardware
pytorch-tpu / llama
Forked from meta-llama/llamaInference code for LLaMA models
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Open weights LLM from Google DeepMind.
[EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Orion-14B is a family of models includes a 14B foundation LLM, and a series of models: a chat model, a long context model, a quantized model, a RAG fine-tuned model, and an Agent fine-tuned model. …
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)
An Open-source Toolkit for LLM Development
A curated list for Efficient Large Language Models
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
[CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
This repo is for Korean wiki table question answering datasets described in the paper of Korean-Specific Dataset for Table Question Answering
List of papers related to neural network quantization in recent AI conferences and journals.
[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"
Robust Speech Recognition via Large-Scale Weak Supervision
Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022