PromptingTools.jl. Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.
172awesome-generative-ai-meets-julia-language. Comprehensive guide to generative AI projects and resources in Julia.
114Julia-LLM-Leaderboard. Provides a platform for the Julia community to compare AI models' abilities in generating syntactically correct Julia code, featuring structured tests and automated evaluations for easy and collaborative benchmarking.
86AIHelpMe.jl. Harnessing Julia's Rich Documentation for Tailored AI-Assisted Coding Guidance
48LLMTextAnalysis.jl. Effortlessly uncover and label thematic insights in large document collections using the power of Large Language Models and Julia Language
41ProToPortal.jl. ProToPortal: The Portal to the Magic of PromptingTools and Julia-first LLM Coding
17FlashRank.jl. Rapid Document Ranking, Powered by Lightweight Models.
8pydantic-ai-optimizers. Python
7ios-memsieve-app. MemSieve: Your AI Dictation Assistant
5slide-doctor. Tired of wasting time within Powerpoint? I'm here to help!
5SwarmAgents.jl. Educational and opinionated translation of OpenAI's swarm into Julia
5JuliaCon2022. Jupyter Notebook
5GPTCodingTools. Set of utilities to write code and tests with OpenAI.jl
5SemanticCaches.jl. Smarter caching for GenAI: reducing latency, one request at a time.
4ChromeDevToolsLite.jl. Julia
4Spehulak.jl. GenAI observability application in Julia
3LLMCheatsheets.jl. Instantly transform GitHub repositories into AI-friendly cheatsheets
3ModelContextProtocol.jl. Julia
2StreamCallbacks.jl. Unified streaming interfaces for LLMs across various API providers. No more manual SSE parsing!
2pydantic-ai-helpers. Boring, opinionated helpers for PydanticAI that are so dumb you didn't want to implement them. So I did.
2bitcoin-news-mining. Python
2Turing.jl. Bayesian inference with probabilistic programming.
1Metaheuristics.jl. High performance metaheuristics for optimization purely coded in Julia.
1MLFlowClient.jl. Julia client for MLFlow.
1Prophet.jl. Julia
1flux-vae. Implementation of a Convolutional Variational Autoencoder in Flux.jl
1Distributions.jl. A Julia package for probability distributions and associated functions.
1dotfiles. Personal configurations and snippets
1AIHelpMeArtifacts.
1DataFramesMeta.jl. Metaprogramming tools for DataFrames
1svilupp.github.io. HTML
1deno-webview-chat-assistant. Simple template of VueJS-based app compiled into an executable with Deno + Webview
1MLJBase.jl. Core functionality for the MLJ machine learning framework
1awesome. 😎 Awesome lists about all kinds of interesting topics
1ModernBert.jl. Julia
1MLJ.jl. A Julia machine learning framework
1OmniParserIconDetectors.jl. Julia
1Flux.jl. Relax! Flux is the ML library that doesn't make you tensor
1ONNXRunTime.jl. Julia bindings for onnxruntime
1Llama.jl. Julia interface to llama.cpp, a C/C++ port of Meta's LLaMA (a large language model)
1EconML. ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
1julia. The Julia Programming Language
1Franklin.jl. (yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
1Literate.jl. Simple package for literate programming in Julia
1JET.jl. An experimental code analyzer for Julia, no need for additional type annotations
1svilupp. Config files for my GitHub profile.
1Fun-projects.
1textprompts. TextPrompts treats your prompts as text files with simple metadata header and placeholders. nothing less, nothing more. Available in Python, Typescript and Julia
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