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Mohammad Pezeshki's Projects

recurrentjs icon recurrentjs

Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rnn_ctc icon rnn_ctc

Recurrent Neural Network with Connectionist Temporal Classifical implemented in Theano. Includes a Toy training example.

rnnlg icon rnnlg

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

sn-gan icon sn-gan

pyTorch implementation of Spectral Normalization for Generative Adversarial Networks

sparse-coding-theano icon sparse-coding-theano

Theano-based implementation of the efficient sparse-coding algorithms by Honglak Lee et al. (2006)

subpopbench icon subpopbench

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

ted-rnn icon ted-rnn

A Recurrent Neural Network trained on all existing TED Talk Transcripts. The model outputs machine generated TED Talks.

tensorflow icon tensorflow

Open source software library for numerical computation using data flow graphs.

theano icon 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.

theano-hf icon theano-hf

General purpose Hessian-free optimization in Theano

theano-rnn icon theano-rnn

Demonstration of recurrent neural network implemented with Theano

vae icon vae

Example of a Variational-Autoencoder using Theano blocks

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