rtdl
papers-with-data
| rtdl | papers-with-data | |
|---|---|---|
| 2 | 2 | |
| 726 | 124 | |
| - | 0.0% | |
| 0.0 | 6.9 | |
| 5 months ago | 5 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
rtdl
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[R] New paper on Tabular DL: "On Embeddings for Numerical Features in Tabular Deep Learning"
JFYI: recently, we have split our codebase into separate projects: - https://github.com/Yura52/rtdl - https://github.com/Yura52/tabular-dl-revisiting-models - (the new one) https://github.com/Yura52/tabular-dl-num-embeddings
papers-with-data
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Elevate Your GitHub README Game
Over the past year, I’ve created a lot of GitHub repositories. Some of these repositories, such as my 10 Weeks of Plugins repo, are effectively aggregators — centralized locations that I can drive people to, almost like a personal Awesome list. Other repositories like VoxelGPT contain many moving pieces. Others still like Papers with Data are essentially minimum viable products for websites!
- CVPR 2023 Papers with Data Repo
What are some alternatives?
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
PyGame-Learning-Environment - PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
aimm - AI Model Manager: Install a model once, and use everywhere 🤩 Users could save huge amounts of disk space 💽 For developers, less code to manage of downloading and installing models 👩🏽💻 aimodels.json is used like requirements.txt / package.json! 📝
squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
neuroaid - :zap: :books: Papers and other material for getting started with Neuro-AI! :brain: :boom:
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
thesis - MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning