liaoyuhua/LLM4TS
quality grade F, 32 out of 100Large Language & Foundation Models for Time Series.
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Released model weights, reference implementations and architecture research.
Signals: large-language-models, llm, foundation-models, transformer, gpt, llama, mistral, qwen
1,476 results
Large Language & Foundation Models for Time Series.
Building blocks for foundation models.
An Open Foundation Model and Benchmark to Accelerate Generative Recommendation
Vision Foundation Models for Medical AI, including RETFound, DINOv2, DINOv3
Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Comprehensive tools and frameworks for developing foundation models tailored to recommendation systems.
Biological foundation modeling from molecular to genome scale
Pathology Foundation Model - Nature Medicine
Painter & SegGPT Series: Vision Foundation Models from BAAI
Foundation model for weather & climate
✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models
A curated list of foundation models for vision and language tasks
Open weights language model from Google DeepMind, based on Griffin.
MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.
A mini, open-weights, version of our Proxy assistant.
LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.
Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
24,524 repositories in the index in total.