This repository contains the python package for Helical
-
Updated
Jul 16, 2024 - Python
This repository contains the python package for Helical
ms-swift: Use PEFT or Full-parameter to finetune 300+ LLMs or 50+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3, Llava-Video, Internvl2, MiniCPM-V, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据!
Fine-tuning mistral model to accurately time stamp relevant youtube video segment, later labelled using trained IDM.
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
[RSS 2024] Learning Manipulation by Predicting Interaction
Official Repository for The Paper, Adversarial-MidiBERT: Symbolic Music Understanding Model Based on Unbias Pre-training and Mask Fine-tuning
[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
Awesome multi-modal large language paper/project, collections of popular training strategies, e.g., PEFT, LoRA.
Paper List of Pre-trained Foundation Recommender Models
[ECCV 2024] DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
trending projects & awesome papers about data-centric llm studies.
Large Language Model-enhanced Recommender System Papers
Transformer、GPT2、BERT pre-training and fine-tuning from scratch
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
Add a description, image, and links to the pre-training topic page so that developers can more easily learn about it.
To associate your repository with the pre-training topic, visit your repo's landing page and select "manage topics."