gatsby2016

free-programming-books

:books: Freely available programming books

Web-Dev-For-Beginners

24 Lessons, 12 Weeks, Get Started as a Web Developer

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

Langchain-Chatchat

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

ChatGLM2-6B

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

embedchain

Memory for AI agents

rectg

经过精心筛选，从 5000+ 个电报群组/频道/机器人中挑选出的优质推荐！如果您有更多值得推荐的电报群组/频道/机器人，欢迎在 issues 中留言或提交 pull requests。感谢您的关注！

composer

Supercharge Your Model Training

zotero-better-notes

Everything about note management. All in Zotero.

awesome-LLMs-In-China

**大模型

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

Luotuo-Chinese-LLM

骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

MedicalGPT

MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。

VLM_survey

Collection of AWESOME vision-language models for vision tasks

CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

ComplexHeatmap

Make Complex Heatmaps

MICCAI-OpenSourcePapers

MICCAI 2019-2023 Open Source Papers

scGPT

clinker

Gene cluster comparison figure generator

HIPT

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

weekly

生信爱好者周刊（每周日发布）

omicverse

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

TransPath

enrichplot

Visualization of Functional Enrichment Result

medical_seg

liana-py

LIANA+: an all-in-one framework for cell-cell communication

RepresentationLearning_SS2023

Representation Learning MSc course Summer Semester 2023

champkit

Benchmarking toolkit for patch-based histopathology image classification.

compbio_resources_chatomics

sc_MTOP

sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosystem diversity at the single-cell level. This code provide 1) Hover-Net-based nuclear segmentation and classification; 2) Nuclear morphological and texture feature extraction; 3) Multi-level pairwise nuclear graph construction and spatial topological feature extraction.