deeplearning4j-examples
datascience
| deeplearning4j-examples | datascience | |
|---|---|---|
| - | 4 | |
| 2,268 | 4,071 | |
| - | - | |
| 7.7 | 8.3 | |
| over 1 year ago | 22 days ago | |
| Java | ||
| GNU General Public License v3.0 or later | Creative Commons Zero v1.0 Universal |
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deeplearning4j-examples
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Tracking mentions began in Dec 2020.
datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
-
Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
What are some alternatives?
MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
samples - JavaFX samples to run with different options and build tools
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
downlords-faf-client - Official client for Forged Alliance Forever
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
mlreef - The collaboration workspace for Machine Learning
darts - A python library for user-friendly forecasting and anomaly detection on time series.
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning