yanivboodman Goto Github PK

applied-deep-learning

Applied Deep Learning

awesome-fairness-papers

Papers on fairness in NLP

awesome-gan-inversion

A collection of resources on GAN inversion.

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

bathuni_introductiontopython

University of Bath online short course for Python beginners, entirely in Jupyter Notebooks

continual_learning_papers

Relevant papers in Continual Learning

cs236756-intro-to-ml

Jupyter Notebook tutorials for the Technion's CS 236756 course "Introduction to Machine Learning"

curated-list-of-awesome-3d-morphable-model-software-and-data

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 Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

cv-course-py

dalle-flow

A Human-in-the-Loop workflow for creating HD images from text

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

ee046211-deep-learning

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

ee046746-computer-vision

Jupyter Notecbook tutorials for the Technion's EE Computer Vision course

faceverse

FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)

freia

Framework for Easily Invertible Architectures

pgmpy_notebook

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

soft-intro-vae-pytorch

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

yanivboodman

Config files for my GitHub profile.