APIs for Researchers

Imperial Metabolic Profiling and Chemometrics Toolbox for Spectroscopy

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Jetson Nano with Ubuntu 20.04 image

Implementations of recent research prototypes/demonstrations using MONAI.

This repository contains the codes for LipGAN. LipGAN was published as a part of the paper titled "Towards Automatic Face-to-Face Translation".

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A book covering the fundamentals of data visualization

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

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised lear…

Cross-platform, customizable ML solutions for live and streaming media.

Create datasets with different graphs but the same statistics

Image Processing API using Python + Flask + PIL

A library for efficient similarity search and clustering of dense vectors.

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Official Kaggle CLI

Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)

Interpretability Methods for tf.keras models with Tensorflow 2.x

ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

Moving projects between resources for Microsoft Cognitive Services - Custom Vision service

Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands

A library for training deep neural networks using pathology data by accessing patches on-the-fly

Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB…

A PyTorch implementation of EfficientNet