Stars
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A curated list of resources on implicit neural representations.
🌊 A Human-in-the-Loop workflow for creating HD images from text
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Jupyter Notecbook tutorials for the Technion's EE Computer Vision course
Jupyter Notebook tutorials for the Technion's CS 236756 course "Introduction to Machine Learning"
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
The projects and the materials that accompany the Flutter Apprentice book
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Tweet Generation with Huggingface
A Collection of Variational Autoencoders (VAE) in PyTorch.
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Relevant papers in Continual Learning
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
A curated list of Multimodal Related Research.
Reading list for research topics in multimodal machine learning