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 learn...
created at Nov. 27, 2013, 2:03 a.m.
Graph Neural Network Library for PyTorch
created at Oct. 6, 2017, 4:03 p.m.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
created at March 31, 2019, 12:45 a.m.
Best Practices on Recommendation Systems
created at Sept. 19, 2018, 10:06 a.m.
Statsmodels: statistical modeling and econometrics in Python
created at June 12, 2011, 5:04 p.m.
Visualizer for neural network, deep learning and machine learning models
created at Dec. 26, 2010, 12:53 p.m.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
created at June 27, 2013, 9:13 p.m.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
created at Dec. 19, 2018, 8:24 a.m.
Jupyter notebooks from the scikit-learn video series
created at April 6, 2015, 2:08 a.m.
Recipes for using Python's pandas library
created at Dec. 21, 2013, 5:14 p.m.
Code accompanying the book "Machine Learning for Hackers"
created at Feb. 10, 2012, 3 a.m.