Competition Winners
The code for the prize winners in DrivenData competitions.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Mindsdb | 19,723 | 3 months ago | 449 | December 07, 2023 | 430 | other | Python | |||
| Build AI 🤖 using SQL | ||||||||||
| Postgresml | 5,135 |  | 1 | 3 months ago | 23 | December 06, 2023 | 123 | mit | Rust | |
| The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models. | ||||||||||
| Gluonts | 4,024 |  | 16 | 3 months ago | 107 | December 07, 2023 | 385 | apache-2.0 | Python | |
| Probabilistic time series modeling in Python | ||||||||||
| Neural_prophet | 3,512 |  | 3 | 3 months ago | 24 | September 19, 2023 | 45 | mit | Python | |
| NeuralProphet: A simple forecasting package | ||||||||||
| Pytorch Forecasting | 3,439 |  | 10 | 3 months ago | 34 | July 26, 2020 | 464 | mit | Python | |
| Time series forecasting with PyTorch | ||||||||||
| Forecasting | 2,540 | a year ago | mit | Python | ||||||
| Time Series Forecasting Best Practices & Examples | ||||||||||
| Time Series Prediction | 762 | 4 months ago | 11 | October 16, 2023 | 11 | mit | Python | |||
| tfts: Time series deep learning models in TensorFlow | ||||||||||
| Failed Ml | 585 | 6 months ago | mit | |||||||
| Compilation of high-profile real-world examples of failed machine learning projects | ||||||||||
| Competition Winners | 316 | 5 months ago | 1 | mit | ||||||
| The code for the prize winners in DrivenData competitions. | ||||||||||
| Deep Learning For Hackers | 196 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
| Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT) | ||||||||||
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