vitojph

efficient-language-detector-js

Fast and accurate natural language detection. Detector written in Javascript. Nito-ELD, ELD.

cohere-toolkit

Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.

griptape

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

RAGatouille

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

fasttext-on-lambda

Serverless Dominant language detection with fastText Layer on AWS Lambda

private-gpt

Interact with your documents using the power of GPT, 100% privately, no data leaks

auto-evaluator

Evaluation tool for LLM QA chains

teaching

Open-Source Information Retrieval Courses @ TU Wien

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

examples

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

ml-engineering

Machine Learning Engineering Open Book

MiniChain

A tiny library for coding with large language models.

KeyBERT

Minimal keyword extraction with BERT

poetry

Python packaging and dependency management made easy

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

ML-Notebooks

:fire: Machine Learning Notebooks

mutate

A library to synthesize text datasets using Large Language Models (LLM)

txtai

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

MLOps-Basics

www.mlcompendium.com

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

jina

☁️ Build multimodal AI applications with cloud-native stack

suboptimal

Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning

TorchDrift

Drift Detection for your PyTorch Models

archivy

Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.