CAP project -- Categories, Algorithms, and Programming

Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source

List of papers studying machine learning through the lens of category theory

Computations and statistics on manifolds with geometric structures.

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

Code for the examples in Spectral and Algebraic Graph Theory

List of resources for learning Category Theory

pyclustering is a Python, C++ data mining library.

A Discord AI chat bot | Choose your LLM | GPT-4 Turbo with vision | Mixtral 8X7B | OpenAI API | Mistral API | LM Studio | Streamed responses | And more 🔥

awesome grounding: A curated list of research papers in visual grounding

Spatiotemporal Dynamics in Spiking Recurrent Neural Networks using Optimization-based Modelling for EEG signals

Wise Web Icons (part of Neptune Design System)

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Official Implementation of CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV2022).

A self-supervised learning framework for audio-visual speech

Must-read papers on improving efficiency for pre-trained language models.

PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)

DALL·E Mini - Generate images from a text prompt

Code Implementation for Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

Package for working with hypernetworks in PyTorch.

Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in …

Jupyter Notebook tutorials for EE 046211 Deep Learning course at the Technion