machine-learning
rtdl
| machine-learning | rtdl | |
|---|---|---|
| 1 | 5 | |
| 0 | 314 | |
| - | - | |
| 2.6 | 8.9 | |
| over 2 years ago | about 2 years ago | |
| Jupyter Notebook | Python | |
| - | 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.
machine-learning
-
Am I correctly learning the DNN model?
Please, tell me something if I'm doing wrong. My solution is here on Github.
rtdl
-
[Project] Improving deep learning for tabular data with numerical embeddings (FT-Transformer)
Found relevant code at https://github.com/yandex-research/rtdl + all code implementations here
- [P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
- [P] pytorch-widedeep model alert: SAINT and the FT-Transformer are now available in the library
- [R] Revisiting Deep Learning Models for Tabular Data
What are some alternatives?
Knet.jl - Koç University deep learning framework.
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
intent_based_chatbot - An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
ArtLine - A Deep Learning based project for creating line art portraits.
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
creative-prediction - Creative Prediction with Neural Networks