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Ignite your models into blazing-fast machine learning APIs with a modern framework.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Industrial Grade Federated Learning Framework.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
Exam Samurai provides machine-learning models, research, training resources, or evaluation tools.
AITV is the world's first AI streamer factory - built for creators, brands, and communities.
Machine learning development environment for data science and AI/ML engineering teams.
Scala Library/REPL for Machine Learning Research.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
Authors: Cal.com core team,, Ted Spare.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
An open source machine learning framework in Rust Δ.
Translate texts & full document files instantly. Accurate translations for individuals and Teams. Millions translate with DeepL every day.
A fast Clojure Tensor & Deep Learning library.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Interactive Hugging Face app that shares a machine-learning model, framework, demonstration or technical resource.
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
Role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Authors:, Dexter Storey, Ted Spare.