Stars
A benchmark dataset for data-driven weather forecasting
Official code for TEOChat, the first vision-language assistant for temporal earth observation data (ICLR 2025).
夫子•明察司法大模型是由山东大学、浪潮云、中国政法大学联合研发,以 ChatGLM 为大模型底座,基于海量中文无监督司法语料与有监督司法微调数据训练的中文司法大模型。该模型支持法条检索、案例分析、三段论推理判决以及司法对话等功能,旨在为用户提供全方位、高精准的法律咨询与解答服务。
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The official codebase of ECCV2024 paper: PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines.
Transformer: PyTorch Implementation of "Attention Is All You Need"
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Official inference repo for FLUX.1 models
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
一键中文数据增强包 ; NLP数据增强、bert数据增强、EDA:pip install nlpcda
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
SOTA Semantic Segmentation Models in PyTorch