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Training and serving large-scale neural networks with auto parallelization.
Mac app that shows all open files, directories, sockets, pipes and devices in use by all running processes. Nice GUI for lsof.
A playbook for systematically maximizing the performance of deep learning models.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or exte…
An Open-Source Library for Training Binarized Neural Networks
Example recipes for Kubernetes Network Policies that you can just copy paste
Polyaxon Operator & Controller for Kubernetes
Open source connections catalog, integrations, tools, alerting, and notifications library.
A library for performing hyperparameter optimization
Confidant: your secret keeper. https://lyft.github.io/confidant
Example using Polyaxon to experiment with pre-training spaCy
Fast and flexible AutoML with learning guarantees.
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
Machine learning operator & controller for Kubernetes
CartPole game by Reinforcement Learning, a journey from training to inference
📚 Freely available programming books
Fermented Chili "Open Sauce" - My most starred repo has no code in it!
Learn how to master the art of baking the programmer way.
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
A workshop on Linux containers: Rebuild Docker from Scratch
Shared lists of problem domains people may want to block with hosts files
polyaxon / deep-learning-with-python-notebooks-on-polyaxon
Forked from fchollet/deep-learning-with-python-notebooksJupyter notebooks for the code samples of the book "Deep Learning with Python"
Make huge neural nets fit in memory
A domain specific language to express machine learning workloads.