Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

I moved to Florida when I was 6 years old. I grew up catching toads and snakes and going fishing, and I just continued to ...

This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for both TF v1 & v2. Some examples ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

What's This Book About? This book walks you through 7 full-featured applications built with Python and Tkinter. Each application will teach you different aspects of Tkinter which you can use for your ...

slmsuite combines GPU-accelerated beamforming algorithms with optimized hardware control, automated calibration, and user-friendly scripting to enable high-performance programmable optics with modern ...

A python implementation (unoptimized and mainly for proof of concept) can be found in http://github.com/bing-jian/gmmreg-python. Recently, a group of researchers from ...

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the ...

visit documentation for more information. See some examples in the examples folder. We have created a variable of 6 bits, where 1 bit has been reserved for sign, 2 bits for fractional part, and 3 ...

This repo provides a step-by-step guide and a template for setting up a Python 🐍 development environment with VScode and Docker 🐳. Docker is an amazing tool, but it has some learning curve. This ...

A small C wrapper around the parts of the LLVM C++ API we need that are not already exposed by the LLVM C API. A ctypes Python wrapper around the C API. A pure Python implementation of the subset of ...