scibert
stylegan2-projecting-images
| scibert | stylegan2-projecting-images | |
|---|---|---|
| 2 | 135 | |
| 1,402 | 288 | |
| 0.0% | - | |
| 0.0 | 10.0 | |
| about 2 years ago | about 1 year ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scibert
- Galactica: an AI trained on humanity's scientific knowledge
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Looking for an automatic text summarization method for academic papers
Hey if you are building Seq2Seq models to summarize papers and already have the dataset you can look into using SciBert by allenai and u might have a look at S2ORC as ur dataset. Its quite vast and expansive.
stylegan2-projecting-images
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Getting Started with Gemma Models
A Colab notebook.
- Welcome to Colaboratory
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A playground to practice differential privacy - Antigranular
To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab.
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Topic and Subtopic Extraction with the Google Gemini Pro
Please head over to the Google Colab
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How do I begin building AI tools for myself?
But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free.
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教程：使用 Google Colab 安全地转发 B 站视频
访问 Google Colab 。
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Journey into Jupyter Notebooks: A Beginner's Guide
Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals.
- This feels like an obvious question, but if I load a pickle file that is 1GB in size, is it taking up 1GB of memory?
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Leveraging Google Colab to run Postgres: A Comprehensive Guide
Open your web browser and navigate to Google Colab.
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No excuses to start working with Python
Using Google Colab you can develop Python codes, similar to Jupyter Notebooks. You will have an environment prepared with various Python libraries. In addition you have tips on small codes for development, some tutorials, gihub connection, cloud -saved notebooks and more.
What are some alternatives?
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
stable-diffusion-webui-colab - stable diffusion webui colab
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
gimp-stable-diffusion
BERT-pytorch - Google AI 2018 BERT pytorch implementation
discoart - 🪩 Create Disco Diffusion artworks in one line
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
quickstart-android - Firebase Quickstart Samples for Android
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
comfyui-colab - comfyui colabs templates new nodes