BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Examples and code demonstrations for the Deep Learning module at Durham University

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds

Examples and code demonstrations for the Image Processing module at Durham University

a set of simple excercises in colour filtering from a live video image (inc. invisibility cloaking)

🤖 A Python library for learning and evaluating knowledge graph embeddings

A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge…

A Pytorch implementation of the 2017 Huang et. al. paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation in CVPR 2018 (Spotlight)

Simple script to display own GitHub projects on a webpage, ordered by number of watchers

NeurIPS 2021 - Few-shot learning competition

Code for Which Tasks Should Be Learned Together in Multi-task Learning?

CUDA + CoCalc Docker container

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Source code for the training pipeline of the text ranking model used in the paper entitled "Rank over Class: The Untapped Potential of Ranking in Natural Language Processing" (https://arxiv.org/abs…

Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning

Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch

allRank is a framework for training learning-to-rank neural models based on PyTorch.

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part…

Re-ranking task using MS MARCO dataset and Hugging Face library

Training and testing pipeline for ransomware classification based on screenshots of the splash screens or ransom notes (https://arxiv.org/pdf/1908.06750.pdf).

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`