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Apache Pulsar Grafana Dashboard
Ingress NGINX Controller for Kubernetes
a docker image of the MLflow server component
Introduction to MLflow and Using MLflow with an Anaconda Environment
Using MLflow with a PostgreSQL Database Tracking URI and a Minio Artifact URI, and MLflow Registry
Using MLflow with a Docker Environment
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones su…
An open-source, low-code machine learning library in Python
Script to copy an AWS S3 Bucket to another bucket using many threads in Python
INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks
training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:
Examples for High Performance Spark
A *simpler* and *cheaper* way to distribute work (python/shell/training) code on machines of your choice in the (AWS) cloud
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A library for training and deploying machine learning models on Amazon SageMaker
Tutorial demonstrating pipeline-oriented approach in data analytics
Train and run Pytorch models on Apache Spark.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Tutorial on deploying Deep learning on SageMaker
Tutorial on how to spin up spark on kubernetes. Serves as a base for the article https://tech.olx.com/running-spark-on-kubernetes-a-fully-functional-example-and-why-it-makes-sense-for-olx-d56b6a61f…
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Repository contains Python code for image pre-processing and captioning with Deep learning model