2019-09-01 · A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and ...

scikit-learn tensorflow keras tutorial

2020-04-06 · We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...

self-supervised-learning computer-vision de-occlusion image-generation

2020-03-30 · A breakdown of the inner workings of GNNs.

graph-neural-networks graph-deep-learning graphs illustrated

2020-05-24 · An overview of self-supervised pretext tasks in Natural Language Processing

self-supervised-learning natural-language-processing tutorial

2020-05-07 · Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients.

cooking text-generation recommendation-systems joint-embeddings

2020-04-29 · Intro to fundamental topics on linear algebra for machine learning with Numpy and Python. Suited for beginner/intermediate Lvl practitioners. Work in ...

linear-algebra math tutorial

2020-04-02 · Some of the most popular GAN architectures, particularly 6 architectures that you should know to have a diverse coverage on GANs.

generative-adversarial-networks survey tutorial

2020-04-03 · Bayesian Layers in Torch Zoo is a simple and extensible library to create Bayesian Neural Network layers on the top of PyTorch.

bayesian-deep-learning pytorch blitz bayesian-neural-networks

2020-04-01 · A lightweight video motion retargeting approach that is capable of transferring motion of a person in a source video realistically to another video of a ...

motion-generation video retargeting transmomo

2020-03-29 · Walking through a port of the RoBERTa pre-trained model to JAX + Haiku, then fine-tuning the model to solve a downstream task.

jax haiku roberta transformers

projects **21 - 30** of **650**