michaelmurdock

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

termux-app

Termux - a terminal emulator application for Android OS extendible by variety of packages.

fastfetch

An actively maintained, feature-rich and performance oriented, neofetch like system information tool.

YOLO-World

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

MedSAM

Segment Anything in Medical Images

awesome-network-embedding

A curated list of network embedding techniques.

InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

LISA

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

paperlib

An open-source academic paper management tool.

NanoVNA

Very Tiny Palmtop Vector Network Analyzer

nanovna-saver

A tool for reading, displaying and saving data from the NanoVNA

usdx

Simple and experimental (class-E driven) SSB transceiver.

rm-hacks

Small improvements and tweaks for rM devices, covering both rM1 and rM2.

med-flamingo

FT8CN

Run FT8 on Android

personal-timeline

A public release of TimelineBuilder for building personal digital data timelines.

plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

BCSS

Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

awesome-cvpr-2024

🤩 An AWESOME Curated List of Papers, Workshops, Datasets, and Challenges from CVPR 2024

Yolov7-training

A clean, modular implementation of the Yolov7 model family, which uses the official pretrained weights, with utilities for training the model on custom (non-COCO) tasks.

uSDXOpen

Open firmware for all versions of the uSDX transceiver

Arduino_uSDX_Pico_FFT_Proj

Hamradio SDR transceiver software

BlueBerry_Q20

BlueBerry_Q20_KeyMap

AViT

[MICCAI ISIC Workshop 2023 (best paper)] AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets (an official implementation)

POCKET-TUNER-V1

multiscale

Multi-scale CNNs for histopathology image segmentation

coco2yolo-seg

coco2yolo-segmentation: Convert COCO segmentation annotation to YOLO segmentation format effortlessly with this Python package. The resulting annotations are stored in individual text files, following the YOLO segmentation format convention.

S4MI