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University of Cambridge
- United Kingdom
Stars
A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do
Free, no-nonsense, super fast blogging.
Visualizes specific Graph Algorithms like BFS, DFS, MST etc. on interactive user input graphs.
A playbook for systematically maximizing the performance of deep learning models.
A resource for learning about Machine learning & Deep Learning
Inpaint anything using Segment Anything and inpainting models.
A hackers AI voice assistant, built using Python and PyTorch.
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Python sample codes and textbook for robotics algorithms.
Blob Detection with scale-invariant features by analysing of scale-space maxima
This repository is primarily for coursework submission to 4F13: 'Probabilistic machine learning' coursework 1.
MPhil Machine Learning and Machine Intelligence @ University of Cambridge
A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python
A list of FREE resources to make Web3 accessible to everyone.
📜 33 JavaScript concepts every developer should know.
Convert Machine Learning Code Between Frameworks
A Web Application to convert NFA to DFA.
A senior honors thesis developing a Java graphical application for computational automata.
Curated coding interview preparation materials for busy software engineers
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
A middle-to-high level open source algorithm book designed with coding interview at heart!