Michael Murdock's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
stat_rethinking_2022
Statistical Rethinking course winter 2022
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
loss-landscape
Code for visualizing the loss landscape of neural nets
efficientdet-pytorch
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
latex-yearly-planner
Digital planner for Supernote and ReMarkable // Support Ukraine 🇺🇦 https://savelife.in.ua/en
cornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
computer-vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
gimp-stable-boy
GIMP plugin for AUTOMATIC1111's Stable Diffusion WebUI
causal_salad_2021
One day course on causal inference, MPI-EVA 9 September 2021
fiftyone-examples
Examples of using FiftyOne
gapi-querier
Tool for running Google APIs, and to play with google auth and stuff.
python-poppler-qt5
Python binding to libpoppler-qt5
pytorch-saliency-maps
Visualizing image-specific class saliency map in classification ConvNets in Pytorch
object-detection-metrics
Python code for analysing object detection metrics
Class-Agnostic-Feature-Visualisation
[ICIP 2021] PyTorch code for "The Mind's Eye: Visualizing Class-Agnostic Features of CNNs" for generation of kernel features.
separableconv-torch
PyTorch implementation of Depthwise Separable Convolution