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Name: Martin Havlicek
Type: User
Blog: martinhavlicek.github.io
Name: Martin Havlicek
Type: User
Blog: martinhavlicek.github.io
[For Fun - Complete] How to defend against adversarial inputs to deep nets.
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
PyTorch implementation of AVF
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
Tensorflow 2.0 implementation of Deep Autoregressive Models
Overview of Bayesian Deep Learning
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
code for "Adversarial Feature Learning"
Testing BIGAN (Adversarial Feature Learning) for State Representation Learning
This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
Bayesian Program Learning model for one-shot learning
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Keras implementation of Representation Learning with Contrastive Predictive Coding
Implementation of a PatchMatch based image copy-move detection algorithm.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Conditional GAN for Tabular Data
🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Code implementing generative models using 'extreme value loss'.
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
Implementation of Graph Convolutional Networks in TensorFlow
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
Code for Go-Explore: a New Approach for Hard-Exploration Problems
Code for the paper "Language Models are Unsupervised Multitask Learners"
Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.