Hands On Machine Learning
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and ...
Self-Supervised Scene De-occlusion
We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...
An Illustrated Guide to Graph Neural Networks
A breakdown of the inner workings of GNNs.
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
NeuralCook — Image2Ingredients and Cooking Recommendation
Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients.
Intro to Linear Algebra for Applied Machine Learning with Python
Intro to fundamental topics on linear algebra for machine learning with Numpy and Python. Suited for beginner/intermediate Lvl practitioners. Work in ...
6 GAN Architectures You Really Should Know
Some of the most popular GAN architectures, particularly 6 architectures that you should know to have a diverse coverage on GANs.
BLiTZ — A Bayesian Neural Network library for PyTorch
Bayesian Layers in Torch Zoo is a simple and extensible library to create Bayesian Neural Network layers on the top of PyTorch.
TransMoMo: Invariance-Driven Unsupervised Motion Retargeting
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 ...
Finetuning Transformers with JAX + Haiku
Walking through a port of the RoBERTa pre-trained model to JAX + Haiku, then fine-tuning the model to solve a downstream task.
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