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linear_regression_demo icon linear_regression_demo

This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube

linear_regression_live icon linear_regression_live

This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube

lstm_networks icon lstm_networks

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

ml_bazaar icon ml_bazaar

Thursday OxCSML research group meetings at the Department of Statistics, University of Oxford.

mlapp icon mlapp

Solutions to exercises from Machine Learning: A Probabilistic Perspective by Kevin P. Murphy

mlapp-solutions icon mlapp-solutions

Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective

mocogan icon mocogan

MoCoGAN: Decomposing Motion and Content for Video Generation

models-1 icon models-1

Pretrained models for TFLearn and TensorFlow

ms_thesis icon ms_thesis

LaTeX files related to master thesis. Created for Master of Science in Computer Science program at University of Bonn. Topic "Solving localization problem in first person computer games with deep learning"

mujoco-py icon mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

neuraltalk icon neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nips14-ssl icon nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

npfl114 icon npfl114

Materials for the Deep Learning -- ÚFAL course NPFL114

numerical-linear-algebra icon numerical-linear-algebra

This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017

osim-rl icon osim-rl

Reinforcement learning environments with musculoskeletal models

paper icon paper

Latex version of my paper on Deep Learning at SoICT 2014

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