Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning Link

Aim logs your training runs, enables a beautiful UI to compare them and an API to query them programmatically. Link

This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale and secure your production machine learning Link

Captum (“comprehension” in Latin) is an open source, extensible library for model interpretability built on PyTorch. Link

Set of illustrated Deep Learning cheatsheets covering the content of the CS 230 class Link

The term data mesh was coined by Zhamak Dehghani in 2019 and is based on four fundamental principles that bundle well-known concepts Link

For data scientists and data engineers, d6tflow is a python library which makes building complex data science workflows easy, fast and intuitive. It is primarily designed for data scientists to build better models faster. For data engineers, it can also be a lightweight alternative and help productionize data science models faster. Unlike other data pipeline/workflow solutions, d6tflow focuses on managing data science research workflows instead of managing production data pipelines.

In simple words, stable diffusion is a deep learning model that can generate an image given a prompt Link

Jina is a MLOps framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Link

Recommending related products — say, a phone case to go along with a new phone — is a fundamental capability of e-commerce sites, one that saves customers time and leads to more satisfying shopping experiences. Link

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A gallery of animations made with Morpho is available here. For more, you can also take a look at the YouTube channels Morphocular and Serpentine Integral, which use Morpho to create most of the animations. Link

This repository aims to simplify this by mapping the ecosystem of guidelines, principles, codes of ethics, standards and regulation being put in place around artificial intelligence. Link

Building stateful web applications can be tricky, unless you use a framework, of course—Django to the rescue! In this article, learn how to build a realtime chat app using Django Channels and WebSockets. Link

We dive into some of the internals of MLPs with multiple layers and scrutinize the statistics of the forward pass activations, backward pass gradients, and some of the pitfalls when they are improperly scaled. We also look at the typical diagnostic tools and visualizations you’d want to use to understand the health of your deep network. We learn why training deep neural nets can be fragile and introduce the first modern innovation that made doing so much easier: Batch Normalization.