The platform for customizing AI from enterprise data

Streamlit — A faster way to build and share data apps.

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Superfast AI decision making and intelligent processing of multi-modal data.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Must-read papers on prompt-based tuning for pre-trained language models.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

: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.

Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.

Emotions recognition from audio and text files (only russian language)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

NLTK Source

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

12 Weeks, 24 Lessons, AI for All!

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".

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

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

A comprehensive guide to building RAG-based LLM applications for production.

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

🚀 A list of Haystack Integrations, maintained by the community or deepset.

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀

В этом репозитории содержится код и ресурсы проекта для Яндекс Мастерской по классификации сетевых аномалий.

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