Text2Diagram is an AI based diagramming tool that uses Natural language text to create diagrams.https://github.com/bhaskatripathi/Text2Diagramwebrtchttps://github.com/livekit/livekithttps://github.com/AudioLLMs/Awesome-Audio-LLMIntroduction to Text-to-Speech Using LLM’shttps://medium.com/@prajwal_/introduction-to-text-to-speech-using-llms-58ef41a92f9ehttps://17aitech.com/?p=13611
https://github.com/Lightning-AI/litgpthttps://huggingface.co/THUDM/chatglm-6b/blob/main/modeling_chatglm.py
<a href="https://colab.research.google.com/gist/wangyang1749/f783b1fbdfd15ae9f3fa133499a035ca/graphrag_openai_neo4j_langchain.ipynb" target="_black"><img alt="Static Badge" src="/badge/colab-badge.svg"></a> <a href="https://gist.github.com/wangyang1749/f783b1fbdfd15ae9f3fa133499a035ca" target="_black"><img alt="Static Badge" src="/badge/github-badge.svg"></a>
import torch from transformers import AutoModelForCausalLM, AutoTokenizer model_name = "gpt2" tokenizer = AutoTokenizer.from_pretrained(model_name) input_text = "hello" inputs = tokenizer(input_text, return_tensors="pt")
https://ant-design-charts.antgroup.com/zh/examples/statistics/line#line-var-sizehttps://zhuanlan.zhihu.com/p/27903098086https://sandeep14.medium.com/running-graphrag-locally-with-neo4j-and-ollama-text-format-371bf88b14b7点击下载
点击下载http://wangyang-bucket.oss-cn-beijing.aliyuncs.com/cms/image/sh_1741857686607.pdf
https://sandbox.neo4j.com/
https://python.langchain.ac.cn/docs/how_to/graph_constructing/----小爱发货内容----
接口：
-----每周有老客户专属小额福利活动，可联系聊天室里专员了解----sk-FgKk2OO5RYzYRJEf7eaMytOLsuIbZecGxaJvRnWDg1GCIkNhhttps://js.langchain.com/docs/integrations/chat/https://onlinelibrary.wiley.com/doi/full/10.1002/qub2.69https://link.springer.com/article/10.1007/s13721-024-00458-1https://arxiv.org/abs/2502.06890Foundation models in bioinformatics
https://www.mdpi.com/2813-2998/4/1/9#https://link.springer.com/article/10.1186/s13073-024-01315-6Learning the language of protein-protein interactions https://github.com/VarunUllanat/mintseqLens: optimizing language models for genomic predictions https://www.biorxiv.org/content/10.1101/2025.03.12.642848v1
https://jyj.xianyang.gov.cn/zwgk/fdzdgknr/zcwj/wjzq/202403/t20240319_1744296.htmlhttps://readloudly.com/viewer?type=reader&id=67e143b2947f68c8ab10a163&page=1https://mermaid.live/https://ant-design-charts.antgroup.com/exampleshttps://tidyplots.org/https://www.ncbi.nlm.nih.gov/books/NBK179288/https://www.ncbi.nlm.nih.gov/home/tools/Improved metagenome binning and assembly using deep variational autoencoders
细菌基因组测序项目: https://www.yunbios.net/Bacterial-genome-sequencing.html
Interactive visualisation with Phandango https://sanger-pathogens.github.io/Roary/ https://jameshadfield.github.io/phandango/#/exampleshttps://etetoolkit.org/treeview/https://github.com/sanger-pathogens/pathogen-informatics-traininghttps://github.com/microgenomics/tutorials/blob/master/pangenome.mdhttps://merenlab.org/2016/11/08/pangenomics-v2/https://www.nature.com/articles/s41467-025-57966-5https://github.com/shenwei356/seqkitqt问题解决:https://blog.csdn.net/LOVEmy134611/article/details/107212845qt问题解决:https://blog.csdn.net/LOVEmy134611/article/details/107212845
pip install setuptools wheel twine rm -rf dist/ build/ *.egg-info python setup.py sdist bdist_wheel twine upload dist/*
# @user.get( # "/users", # tags=["users"], # response_model=List[User], # description="Get a list of all users", # ) # def get_users(): # return conn.execute(users.select()).fetchall() # @user.get("/users/count", tags=["users"], response_model=UserCount) # def get_users_count(): # result = conn.execute(select([func.count()]).select_from(users)) # return {"total": tuple(result)[0][0]} # @user.get( # "/users/{id}", # tags=["users"], # response_model=User, # description="Get a single user by Id", # ) # def get_user(id: str): # return conn.execute(users.select().where(users.c.id == id)).first() # @user.post("/", tags=["users"], response_model=User, description="Create a new user") # def create_user(user: User): # new_user = {"name": user.name, "email": user.email} # new_user["password"] = f.encrypt(user.password.encode("utf-8")) # result = conn.execute(users.insert().values(new_user)) # return conn.execute(users.select().where(users.c.id == result.lastrowid)).first() # @user.put( # "users/{id}", tags=["users"], response_model=User, description="Update a User by Id" # ) # def update_user(user: User, id: int): # conn.execute( # users.update() # .values(name=user.name, email=user.email, password=user.password) # .where(users.c.id == id) # ) # return conn.execute(users.select().where(users.c.id == id)).first() # @user.delete("/{id}", tags=["users"], status_code=HTTP_204_NO_CONTENT) # def delete_user(id: int): # conn.execute(users.delete().where(users.c.id == id)) # return conn.execute(users.select().where(users.c.id == id)).first()
https://sbg.github.io/tidycwl/articles/tidycwl.html