A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Program for the analysis and visualization of whole-slide images in digital pathology

2nd Place Solution for the RSNA 2023 Abdominal Trauma Detection Kaggle Competition

Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images

Recent weakly supervised semantic segmentation paper

A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

A resource for learning about Machine learning & Deep Learning

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.

Collection of AWESOME vision-language models for vision tasks

The code base for paper "Conditional expectation with regularization for missing data imputation"

This repository contains implementations of methods for Unsupervised Domain Adaptation.

Examples for using ONNX Runtime for machine learning inferencing.

pytorch to caffe by onnx

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Open standard for machine learning interoperability

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

PyTorch Tutorials from my YouTube channel

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

Dijkstra's algorithm + visibility graph = shortest path among polygons