Implementation of my RAG system that won all categories in Enterprise RAG Challenge 2

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

Materials for the Hugging Face Diffusion Models Course

Code for BERT classifier finetuning for multiclass text classification

This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.

Open Machine Learning Course

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

Книга "Машинное обучение и анализ данных"

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Chat with your own data - LLM+RAG workshop

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.

Fine-Tuning Embedding for RAG with Synthetic Data

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

Website containing illustrations about Machine Learning theory!

A collection of links and notes on forced alignment tools

Visualize & play word-level time-aligned lyrics in LRC format

Synchronize Whisper's timestamps over an existing accurate transcription

Participation in the CLIN33 shared task.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Workshop on Learning and Applying Large Language Models for Social Science Research