Simple yet flexible JavaScript charting library for the modern web.
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Turn simple shots into photoshoot-quality images. Realistic lifestyle scenes, on-model photos, clean cutouts. Detail-first results.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
A simple and functional machine learning library written in Elixir.
Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
A very simple wrapper for convenient hyperparameter optimization.
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
Combine LLMs and code to create simple automations.
A simple notebook demonstrating prompt-based music generation via Mubert API.
The simplest way to run an LLM locally. Supports tool calling and grammar constrained sampling.
A simple JavaScript library to help you quickly identify unseemly images; all in the client.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
Simple, realtime visualization of neural network training performance.
Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
Fast and simple framework for building and running distributed applications.
Simple and efficient library to minimize expensive and noisy black-box functions.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Lets you create apps for your ML projects with deceptively simple Python scripts.