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Reinforcement Learning Tutorial
Important reinforcement learning (RL) algorithms, including policy iteration, Q-Learning, and Neural Fitted Q.
Anti-Patterns in NLP (8 types of NLP idiots)
A talk which discusses the recurring industrial problems in making NLP solutions.
Learning to Cartoonize Using White-box Cartoon Representations
An approach for image cartoonization using GANs.
Adversarial Latent Autoencoders
Introducing the Adversarial Latent Autoencoder (ALAE), a general architecture that can leverage recent improvements on GAN training procedures.
This application designed with streamlit library will help in visualizing NLP tasks on text entered by you.
NAG - Network for Adversary Generation [Pytorch]
Generative approach to model the manifold of perturbations that can cause CNN based classifiers to behave absurdly.
PyTorch implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
Python Implementation of Reinforcement Learning: An Introduction
Plot replications, exercise solutions and Anki flashcards for the entire book by chapters.
Bootstrap Your Own Latent (BYOL) in Pytorch
Practical implementation of a new state of the art (surpassing SimCLR) without contrast learning and having to designate negative pairs.
Advanced Deep Learning for Computer Vision (ADL4CV)
The Visual Computing Group offers a variety of lectures and seminars on a regular basis, covering hot areas in computer graphics, vision, and machine ...
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