This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Collection of notebook guides created by the Brev.dev team!

LLM Finetuning with peft

Interactive textbook on state-space models

Large Language Model Projects

Jupyter notebooks for the Natural Language Processing with Transformers book

PostgreSQL performance essentials in 1 hour

All about the fundamentals and working of Diffusion Models

Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)

Open Source Data Science Resources.

Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"

Arabic speech recognition, classification and text-to-speech.

The largest public catalogue for Arabic NLP and speech datasets. There are +500 datasets annotated with more than 25 attributes.

A Tufte-inspired LaTeX class for producing handouts, papers, and books

Serve, optimize and scale PyTorch models in production

The Metadata Platform for your Data and AI Stack

Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.

Data science interview questions with answers. Not ideally (yet)

✍️ A carefully curated list of NLP paper summaries

📺 Discover the latest machine learning / AI courses on YouTube.

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

In recent years, Road Accidents (RAs) have emerged as an important public health issue which needs to be tackled by a multi-disciplinary approach. The trend in RA injuries and death is becoming ala…

Examples of how to create colorful, annotated equations in Latex using Tikz.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Data science interview questions and answers

Label Studio is a multi-type data labeling and annotation tool with standardized output format

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…