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algorithms_and_data_structures

Training algorithm design and data structures

celestial_mechanics

chaotic_maps

Creates bifurcation diagrams of real discrete one dimensional chaotic maps

cloudevents-web

Source files for the website

course-v3

The 3rd edition of course.fast.ai

ctci-6th-edition-cpp

Cracking the Coding Interview 6th Ed. C++ Solutions

deep-q-learning

Tensorflow implementation of Deepminds dqn with double dueling networks

deploying_with_docker

devise-zero-shot-classification

DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker

dotfiles

emacs-config

My emacs setup

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

experiments

fastai_deep_learning_from_the_foundations

Fastai: Deep Learning from the foundations

flyte

Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.

flyteadmin

Control Plane for Flyte. Flyteadmin is a gRPC + REST Service written in golang and uses a RDBMs to store meta information and management information for Flyte Tasks and Workflows.

flyteidl

Specification of the IR for Flyte workflows and tasks. Also Interfaces for all backend services. https://docs.flyte.org/projects/flyteidl/en/stable/

flytekit

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

flyteplugins

Flyte Backend Plugins contributed by the Flyte community.

flytepropeller

FlytePropeller is a Kubernetes native operator, that executes Flyte Workflows and Tasks. It has its own kubectl-flyte CLI to interact and is extensible using the flyteplugins/pluginmachinery interface

flytesnacks

Flyte User-Guides and Tutorials - https://flytecookbook.readthedocs.io

hydra

Hydra is a framework for elegantly configuring complex applications

istio

Connect, secure, control, and observe services.

learning_cuda

Notes and homework assignments to the course "Intro to Parallel Programming" by Nvidia on Udacity

mlflow

Open source platform for the machine learning lifecycle

mlops-course

mlops-workshop

neural-image-caption-generation-tutorial

onnx.github.io

Code of the official webpage of onnx

openmlops