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Build AI-powered applications with React, Svelte, Vue, and Solid
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
Zim: Modular, customizable, and blazing fast Zsh framework
An extremely fast Python linter and code formatter, written in Rust.
Code and datasets for "Character-LLM: A Trainable Agent for Role-Playing"
aider is AI pair programming in your terminal
A repository of 60 useful data science prompts for ChatGPT
A guidance language for controlling large language models.
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
Multiplatform plotting library based on the Grammar of Graphics
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
Frost-group / The-Oracle-of-Zotero
Forked from whitead/paper-qaLLM Chain querying a scientific Zotero library, with citations
Represent, send, store and search multimodal data
Repo for Yale Applied Empirical Methods PHD Course
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Bayesian histograms for estimation of binary rare event rates, with fully automated bin pruning 📊
Relevant code for the RL for real life workshop.
Drag & drop UI to build your customized LLM flow
py2dataset analyzes source code to generate structured datasets describing code content and behavior. It extracts information from Python files and converts it into JSON-formatted datasets. These d…
An experimental self-hosted Observable notebook editor, with support for FileAttachments, Secrets, custom standard libraries, and more!