Xu Mengde's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
flash-attention
Fast and memory-efficient exact attention
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
inshellisense
IDE style command line auto complete
Inpaint-Anything
Inpaint anything using Segment Anything and inpainting models.
open_flamingo
An open-source framework for training large multimodal models.
awesome-productivity-cn
绝妙的个人生产力(Awesome Productivity - Chinese version)
remote-jobs-in-china
支持远程办公的**公司
Skywork
Skywork series models are pre-trained on 3.2TB of high-quality multilingual (mainly Chinese and English) and code data. We have open-sourced the model, training data, evaluation data, evaluation methods, etc. 天工系列模型在3.2TB高质量多语言和代码数据上进行预训练。我们开源了模型参数,训练数据,评估数据,评估方法。
the-art-of-debugging
The Art of Debugging
fastcomposer
[IJCV] FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
HUST-PhD-Thesis-Latex
华中科技大学博士毕业论文Latex模板