Valdis Saulespurens's Projects
A truly monstrous async web chat using no JS whatsoever on the frontend
MineSweeper implemented in CSS + HTML using the Space Toggle trick (no JavaScript!)
A game of Tic Tac Toe created using only CSS and HTML, no JavaScript™!
Simple heart shape in CSS
My Project
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Layout algorithms for visualizing directed acylic graphs
Python library for building highly effective data science workflows
My dad's resume and skills from 1980
The simplest way to run LLaMA on your local machine
Analytical Web Apps for Python. No JavaScript Required.
Fool-proof template for deploying Dash apps on Heroku
Jupyter Dashboards Layout Extension
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Source Code for 'Data Analysis and Visualization Using Python' by Dr. Ossama Embarak
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A Python tool that automatically cleans data sets and readies them for analysis.
A set of utilities designed for incremental building, merging and optimization of data transformations.
R Package 📦 Containing the Datasaurus Dozen datasets :bar_chart:
A tool for exploring and publishing data
The official project website for Datasette
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
DDEV-Local: a local PHP development environment system
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A secure TypeScript runtime on V8