MLWatcher
MLWatcher is a python agent that records a large variety of time-serie metrics of your running ML classification algorithm.
It enables you to monitor in real time :
MLWatcher
90
15
ML-Component Development
lightwood
Lightwood is Legos for Machine Learning.
243
53
interpret
Fit interpretable models. Explain blackbox machine learning.
4626
585
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
4999
1251
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
17697
2229
Neuraxle
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
508
53
alibi
Algorithms for explaining machine learning models
1553
183
maggy
Distribution transparent Machine Learning experiments on Apache Spark
79
14
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
15292
3903
tfx
TFX is an end-to-end platform for deploying production ML pipelines
1711
556