Deep learning framework to train, deploy, and ship AI products Lightning fast.
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Toolbox of models, callbacks, and datasets for AI/ML researchers.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Benchmarking Large Language Models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Works with speech, voice, music or other audio using machine-learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
CLI tool for debugging and benchmarking RAG retrieval. EXPLAIN ANALYZE for your retrieval layer.
Statistics, data mining and machine learning toolbox in Java.
A "machine learning framework to automate text-and voice-based conversations.".
Implementing a ChatGPT-like LLM from scratch, step by step.
Fast and simple framework for building and running distributed applications.
Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
Tutorial on Python time-series model deployment.
A C library for product recommendations/suggestions using collaborative filtering (CF).