Pinned Repositories
awesome-deep-learning-papers
The most cited deep learning papers
Coursera_ML
Andrew NG's famous course on Machine Learning
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
ODSCLondon2018_MissingData
Missing Data Workshop ODSC London
pyprobml
Python code for "Machine learning: a probabilistic perspective"
pytorch-MNIST-CelebA-GAN-DCGAN
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
RBM-Matlab
Matlab implementation of Restricted Boltzmann Machines and CD-1
RBM-Tensorflow
Tensorflow Implementation of RBM
Restricted-Boltzmann-Machines
Train an RBM to infer Bars-As-Stripes patterns and other dummy examples
patricieni's Repositories
patricieni/RBM-Tensorflow
Tensorflow Implementation of RBM
patricieni/RBM-Matlab
Matlab implementation of Restricted Boltzmann Machines and CD-1
patricieni/ODSCLondon2018_MissingData
Missing Data Workshop ODSC London
patricieni/Restricted-Boltzmann-Machines
Train an RBM to infer Bars-As-Stripes patterns and other dummy examples
patricieni/pyprobml
Python code for "Machine learning: a probabilistic perspective"
patricieni/pytorch-MNIST-CelebA-GAN-DCGAN
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
patricieni/awesome-deep-learning-papers
The most cited deep learning papers
patricieni/Coursera_ML
Andrew NG's famous course on Machine Learning
patricieni/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
patricieni/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
patricieni/Gapminder-scotland
A Gapminder like visualization with Holoviews on top of Scottish health data
patricieni/ICM
ICM Collaboration
patricieni/IsingModel
Visualization of a 2-D spin configuration under Glauber/Kawasaki Dynamics and Boltzmann Distribution
patricieni/Large_margin_nearest_neighbor
Matlab implementation of the large margin nearest neighbor algorithm
patricieni/numerical-tours
Numerical Tours of Signal Processing
patricieni/patricieni.github.io
patricieni/POT
Python Optimal Transport toolbox
patricieni/Probabilistic-Programming
Probabilistic Programming with Edward
patricieni/pyDiffMap
Library for diffusion maps
patricieni/rfs
patricieni/Tensorflow-101
TensorFlow Tutorials
patricieni/tensorfow-rbm
Tensorflow implementation of Restricted Boltzman Machine
patricieni/tikz-bayesnet
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
patricieni/VAE-TensorFlow
Implementation of a Variational Auto-Encoder in TensorFlow