poolio

bilateral_solver

Python code for the fast bilateral solver

blog

Some notes on things I find interesting and important.

deep3

deep neural networks mapping from positions to colors

kpls

Kernel Partial Least Squares

pylearn

A Machine Learning library based on Theano

scikit-learn

scikit-learn: machine learning in Python

unrolled_gan

Unrolled Generative Adversarial Networks

poolio/unrolled_gan

Unrolled Generative Adversarial Networks

poolio/bilateral_solver

Python code for the fast bilateral solver

poolio/deep3

deep neural networks mapping from positions to colors

poolio/kpls

Kernel Partial Least Squares

poolio/pylearn

A Machine Learning library based on Theano

poolio/scikit-learn

scikit-learn: machine learning in Python

poolio/tensorflow-playground

playing around with tensorflow in jupyter notebooks

poolio/blog

Some notes on things I find interesting and important.

poolio/cae.py

Contractive Auto-Encoders in Numpy

poolio/CLIP

Contrastive Language-Image Pretraining

poolio/continuous_basis_pursuit

poolio/deepdraw

Notebook example of how to generate class visualizations with Caffe

poolio/deepinterp

poolio/draw

Reimplementation of DRAW

poolio/dropout

A theano implementation of Hinton's dropout.

poolio/edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

poolio/keras

Deep Learning for humans

poolio/latent-nerf

Official Implementation for "Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures"

poolio/plat

poolio/playground

PlayGround: AI Research into Multi-Agent Learning.

poolio/progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

poolio/scipy

Scipy main repository

poolio/sml_project

poolio/tensorflow

Computation using data flow graphs for scalable machine learning

poolio/Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

poolio/thunder

Large-scale neural data analysis with Spark

poolio/torch-gan

poolio/vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"