Discover @ruankie Open Source projects

Ruan Pretorius (@ruankie)

ruankie

Stars
116
Global Rank 186,641 (Top 7 %)
Followers 19
Following 10
Registered almost 5 years ago
Most used languages

Jupyter Notebook
57.1 %

HTML
21.4 %

Python
21.4 %
Location 🇿🇦 South Africa
Country Total Rank 582
Country Ranking

Jupyter Notebook
8

HTML
121

Python
185

ecrivai

Fully automated AI blog writer that uses LangChain and GPT type LLMs for topic selection and content generation

Jupyter Notebook

differentially-private-range-queries

Differentially private spatial decomposition of 2D data for range queries

rag-qa

RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way

Jupyter Notebook

vid-qa

An app that summarises and answers questions about arbitrary YouTube videos using LangChain and LLMs

gurushots-auto-fill

Automate the tedious exposure filling process on GuruShots

pydata23-synth-data

PyData Global 2023 talk on using synthetic data to test data pipelines

ecrivai-blog-hugo

EcrivAI's static blog site generator

poly2pascal

Convert POLYGON bounding boxes from csv files to xml annotation files in the Pascal VOC format for computer vision

frontier-rl

Reinforcement learning model for portfolio management that takes investor preferences into account

Jupyter Notebook

langfuse-monitoring-eval

Monitoring and evaluating LLM apps with Langfuse. Presented at PyConZA 2024.

auto-pr

Automatically generates detailed pull request messages with LLMs based on commit history

Jupyter Notebook

weather-report

Creates a five-day temperature forecast for any group of cities. Forecasts are generated by parameterised jupyter notebooks that run in parallel.

Jupyter Notebook

soil-resistivity-prediction

Using decision trees for predicting soil resistivity to improve the design process of overhead power line tower earth electrodes

Jupyter Notebook

langchain-play

Easy set up template with examples to play around with Langchain

Jupyter Notebook

pycon23-synth-data

How to build a data pipeline without data: A case study of synthetic data generation and testing with Python

stock-market-prediction

Forecasting accuracy comparison of various machine learning and statistical models on stock market price movements

Jupyter Notebook