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- Cambridge University
IBCC implementation for use with cit sci projects. Updated from code written by Kieran Finn.
My personal code
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
Code for paper "Exploring Models and Data for Image Question Answering"
Caffe: a fast open framework for deep learning.
A deep learning library for streamlining research and development using the Torch7 distribution.
Efficient Image Captioning code in Torch, runs on GPU
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Load Caffe networks in Torch7
A series of machine learning tutorials for Torch7
IPython kernel for Torch with visualization and plotting
A curated list of deep learning resources for computer vision
Demos and tutorials around Torch7.
Learning to Execute
backup message from many platforms
LSTM language model with CNN over characters
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
A machine learning model that predicts facial attractiveness from images
Open Source Financial Library
A library for financial and time series calculations on Apache Spark