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CoreSheep
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The world’s fastest framework for building websites.
Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
A flexible, high-performance serving system for machine learning models
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
A modular graph-based Retrieval-Augmented Generation (RAG) system
A framework for serving and evaluating LLM routers - save LLM costs without compromising quality
Extended LaTeX template for CVPR/ICCV papers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
LLM finetuned for generating symbolic music
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Python3 tutorial - unittest module - PyMOTW
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
A curated list of awesome Machine Learning frameworks, libraries and software.
📝 An awesome Data Science repository to learn and apply for real world problems.
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
