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Free Introduction to Bash Scripting eBook
Free Introduction to Git and GitHub eBook
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Distribute and run LLMs with a single file.
This repository contains demos I made with the Transformers library by HuggingFace.
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
โ๏ธ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.
karpathy / transformers
Forked from huggingface/transformers๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Neural Networks: Zero to Hero
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Xonsh jupyter kernel allows to run Xonsh shell code in Jupyter, JupyterLab, Euporia, etc.
๐ฅ ๐ ๐น ๐ A curated list of command line apps
๐ Python-powered shell. Full-featured and cross-platform.
โก๏ธA Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion ๐
๐ ๐ง๐ต๐ฒ ๐๐๐น๐น ๐ฆ๐๐ฎ๐ฐ๐ธ ๐ณ-๐ฆ๐๐ฒ๐ฝ๐ ๐ ๐๐ข๐ฝ๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ | ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐๐ & ๐ ๐๐ข๐ฝ๐ for free by designing, building and deploying an end-to-end ML batch system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 2.5 ๐ฉ๐ฐ๐ถ๐ณ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ & ๐ท๐ช๐ฅ๐ฆ๐ฐ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Mockingbird is a mock streaming data generator
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Repository and hands-on workshop on how to develop applications with local LLMs
A curated list of awesome Machine Learning frameworks, libraries and software.
Building Apps with LLMs
A reactive, WASM based SSR Python Web Framework for Front-End Applications
A natural language interface for computers
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,