SENet with bilinear pooling

A launch point for your personal nvim configuration

Improving XGBoost survival analysis with embeddings and debiased estimators

A hyperparameter optimization framework

Web based tool for exporting scrobbles

Deep Learning for humans

Neural network visualizer and analyzer

Compact Bilinear Pooling for PyTorch

This repository is intended to host tools and demos for ActivityNet

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A workaround for an annoying bug in nVidia's NVML library. Allows nvidia-smi to work once more!

A minimal CMake template for Qt 5 projects

Tibetan pecha repository in LaTeX and ODF formats

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Tools to extract dense optical flow from videos, based on OpenCV

Computation using data flow graphs for scalable machine learning

Convolutional Neural Networks

Examples of matplotlib codes and plots

Example of how to use the ptrace(2) system call to call a userspace method.

Memory Networks implementations

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

Torch implementation of neural style algorithm

Training Deep Neural Networks with binary weights during propagations

An irrelevant project where I keep various code I wrote while learning