The purpose of this project is to share knowledge on how awesome Streamlit is and can be - MarcSkovMadsen/awesome-streamlit
R Markdown allows you to create reproducible documents around your data analysis which you can then export as HTML, PDF, or Word files. Think of it as a notebook – your text, code, and code output are presented visually in an easy-to-follow format. To get started, click onFile–New ...
First, create a .env file in your project directory, and inside, add your API key like this: OPENAI_API_KEY=your-api-key-here Next, install thepython-dotenvpackage: pip install python-dotenv Now, in your Python script, load the environment variables from the .env file like this: ...
There are many reasons to create an R package, such as codes protection, convenient usage, etc. However, creating an R package in Unix is not hard, it IS in Windows, as R is designed in a Unix environment which includes a set of compilers, programming ut
streamlit-spaces.md summer-at-huggingface.md supercharge-customer-service-with-machine-learning.md tapex.md tensorflow-philosophy.md tf-serving-vision.md tf-serving.md tf-xla-generate.md the-age-of-ml-as-code.md the-partnership-amazon-sagemaker-and-hugging-face.md time-series-transformers.md tra...
how-to-generate.md how-to-train.md long-range-transformers.md porting-fsmt.md pytorch-xla.md pytorch_block_sparse.md ray-rag.md ray-tune.md reformer.md sagemaker-distributed-training-seq2seq.md sentence-transformers-in-the-hub.md simple-considerations.md spacy.md streamlit-spaces.m...
One week ago I made an early announcement about the markdown support in the knitr package and RStudio, and now the version 0.5 of knitr is on CRAN, so I'm back to show you how I made the HTML5 slides. For those who are not familiar with markdown, you m..
sentence-transformers-in-the-hub.md sentiment-analysis-python.md simple-considerations.md snowball-fight.md spacy.md streamlit-spaces.md summer-at-huggingface.md tf-serving.md the-age-of-ml-as-code.md the-partnership-amazon-sagemaker-and-hugging-face.md warm-starting-encoder-decod...
how-to-train.md large-language-models.md long-range-transformers.md porting-fsmt.md pytorch-xla.md pytorch_block_sparse.md ray-rag.md ray-tune.md reformer.md sagemaker-distributed-training-seq2seq.md sentence-transformers-in-the-hub.md simple-considerations.md spacy.md streamlit-space...
spacy.md streamlit-spaces.md summer-at-huggingface.md tf-serving.md the-age-of-ml-as-code.md the-partnership-amazon-sagemaker-and-hugging-face.md warm-starting-encoder-decoder.md wav2vec2-with-ngram.md zero-deepspeed-fairscale.mdBreadcrumbs Hugging-blog / how-to-generate.md Lates...