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This Python 3 script allows to archive a local folder, as a ZIP file, and upload it to a Google Drive folder. It allows to easily backup a folder from a server for example.
The revolution will (not) be televised 📺
A curated list of Rust code and resources.
🦀 Small exercises to get you used to reading and writing Rust code!
Notes and resources for graduate course GEOG 712 Reproducible Research Workflow with GitHub and R offered by the School of Earth, Environment and Society at McMaster University
Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Positron, a next-generation data science IDE
A curated list of awesome R packages, frameworks and software.
CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.
VS Code extension providing the RStudio arrow operator keybinding
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
LLM agents done right, no over-engeneering and redundant complexity
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
Integrate the DeepSeek API into popular softwares
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highli…
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Collection of bash scripts that install R package system dependencies
R package for analyzing other R packages via graph representations of their dependencies
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
Real-world code problems in R, without dependencies