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A simple guide to fine-tuning Llama 2 Brev docs provides machine-learning models, research, training resources, or evaluation tools.

A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.

Simple Bench provides machine-learning models, research, training resources, or evaluation tools.

SimpleCV provides machine-learning models, research, training resources, or evaluation tools.

Turn simple shots into photoshoot-quality images. Realistic lifestyle scenes, on-model photos, clean cutouts. Detail-first results.

Generate mind maps, flowcharts, sequence diagrams, and more from a simple text prompt with Whimsical AI. Get started for free.

Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.

A simple JavaScript library to help you quickly identify unseemly images; all in the client.

Creates, rewrites or summarizes written content with language models.

A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

A simple, but essential Bayesian optimization package, written in Python.

Machine Learning made beautifully simple for everyone. Take your business to the next level with the Machine Learning platform.

Bokeh is a Python-based visualization library, capable of building plots from simple charts to interactive dashboards.

Simple yet flexible JavaScript charting library for the modern web.

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.

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.