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Mark's Projects

python-mt-st icon python-mt-st

(Anyone use tape drive today? Expect no star for this lol) Controlling magnetic tape drives under Linux from Python ✨🍰✨

python-scraping icon python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

python-signal-processing icon python-signal-processing

splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.

python-socks icon python-socks

Core proxy client (SOCKS4, SOCKS5, HTTP) functionality for Python

pytorch-101-tutorial-series icon pytorch-101-tutorial-series

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

pytorch-accelerated icon pytorch-accelerated

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

pytorch-bolt icon pytorch-bolt

A simple PyTorch wrapper making multi-node multi-GPU training much easier on Slurm

pytorch-grad-cam icon pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-metric-learning icon pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-project-template icon pytorch-project-template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

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