An open-source visual programming environment for battle-testing prompts to LLMs.
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AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in 10 minutes than regret in six months. Powered by Claude Code, OpenAI Codex, and Cursor.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Supports software work with AI-assisted coding, testing or application development.
Code for interactive simulacra of human behavior [[arxiv]](https://arxiv.org/abs/2304.03442).
Open-source project that provides conversational AI for questions, tasks, and general assistance.
Code for the Kaggle acquire valued shoppers challenge.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Supports software work with AI-assisted coding, testing or application development.
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograph
Supports software work with AI-assisted coding, testing or application development.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Class on machine w/ PDF, lectures, code.
A model-agnostic visual debugging tool for machine learning.
Agents Capable of Self-Editing Their Prompts / Python Code.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Speed up your Pandas workflows by changing a single line of code.
Local-first CLI coding agent built with React and Ink.
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].