Tag: algorithm

Chart and Diagram Analysis with Ollama LLaVA: Complete Guide

Unlock automated chart analysis using Ollama LLaVA, a vision model capable of understanding and interpreting complex visuals like bar charts, line graphs, and pie diagrams. This guide demonstrates how to quickly extract data points and identify trends from your reports without manual effort. Built on Large Language Model capabilities alongside computer vision, LLaVA offers key advantages including accurate numerical extraction, trend identification, support for various chart formats (PNG, JPG, PDF), and offline operation – all within a streamlined setup process using Ollama.

GitHub – elder-plinius/OBLITERATUS: OBLITERATE THE CHAINS THAT BIND YOU
OBLITERATUS is a groundbreaking open-source toolkit designed for analyzing and mitigating refusal behaviors in large language models. The project provides a comprehensive, pipeline-driven approach – from pinpointing refusal ‘directions’ within a model’s hidden states to directly intervening at inference time, without retraining. The project facilitates a collaborative research experiment, collecting anonymous benchmarking data that drives advancements in abliteration techniques. A user-friendly Gradio interface on Hugging Face Spaces enables easy experimentation, while a Python API offers granular control for more advanced users.


Home – Welcome to MLBox’s official documentation — MLBox Documentation

MLBox is a powerful Automated Machine Learning python library. It provides the following features:

Fast reading and distributed data preprocessing/cleaning/formatting.
Highly robust feature selection and leak detection.
Accurate hyper-parameter optimization in high-dimensional space.
State-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,…).
Prediction with models interpretation.


ryanjay0/miles-deep: Deep Learning Porn Video Classifier/Editor with Caffe

Using a deep convolutional neural network with residual connections, Miles Deep quickly classifies each second of a pornographic video into 6 categories based on sexual act with 95% accuracy. Then it uses that classification to automatically edit the video. It can remove all the scenes not containing sexual contact, or edit out just a specific act.


xgboost-node

XGBoost-Node is the first port of XGBoost to run existing XGBoost model with Node.js.

XGBoost is a library from DMLC. It is designed and optimized for boosted trees. The underlying algorithm of XGBoost is an extension of the classic gbm algorithm. With multi-threads and regularization, XGBoost is able to utilize more computational power and get a more accurate prediction.


surikov/webaudiofont: Use full GM set of musical instruments to play MIDI and single sounds or effects. Support for reverberation and equaliser. No plugins, no Flash. Pure HTML5 implementation compatible with desktop and mobile browser. See live examples.

Use full GM set of musical instruments to play MIDI and single sounds or effects. Support for reverberation and equaliser. No plugins, no Flash. Pure HTML5 implementation compatible with desktop and mobile browser.


EYE and OWL 2

EYE is an inference engine supporting logic based proofs. It is a backward-forward-backward chaining reasoner enhanced with Euler path detection.
The backward-forward-backward chaining is realized via an underlying Prolog backward chaining, a forward meta-level reasoning and a backward proof construction.


Visualizing Algorithms

Algorithms are a fascinating use case for visualization. To visualize an algorithm, we don’t merely fit data to a chart; there is no primary dataset. Instead there are logical rules that describe behavior. This may be why algorithm visualizations are so unusual, as designers experiment with novel forms to better communicate. This is reason enough to study them.


easy*.js

easystar.js is an asynchronous A* pathfinding API written in Javascript for use in your HTML5 games. The aim of the project is to make it easy and fast to implement performance conscious pathfinding into your project.


LEGO Turing Machine

To honor Alan Turing, we built a simple LEGO Turing Machine, to show everyone how simple a computer actually is. Primary goals were to make every operation as visible as possible and to make it using the automatic components of just a single LEGO MINDSTORMS NXT set, to make it easy to reproduce for those interested.

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