Pinned Repositories
CLTM
Conditional Latent Tree Models
CORGI
Conversational Neuro-Symbolic Commonsense Reasoning
ForoughA.github.io
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
neuralMath
Combining Symbolic and Function Evaluation Expressions In Neural Programs
neuralTrig
NID
Spectral Methods for Correlated Topic Models
pyswip
PySWIP is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.
recursiveMemNet
Tree Stack Memory Units
RecursiveNN
Tensorflow implementation of Recursive Neural Networks using LSTM units
ForoughA's Repositories
ForoughA/neuralMath
Combining Symbolic and Function Evaluation Expressions In Neural Programs
ForoughA/CORGI
Conversational Neuro-Symbolic Commonsense Reasoning
ForoughA/recursiveMemNet
Tree Stack Memory Units
ForoughA/CLTM
Conditional Latent Tree Models
ForoughA/NID
Spectral Methods for Correlated Topic Models
ForoughA/ForoughA.github.io
ForoughA/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ForoughA/neuralTrig
ForoughA/pyswip
PySWIP is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.
ForoughA/RecursiveNN
Tensorflow implementation of Recursive Neural Networks using LSTM units
ForoughA/swc-collaborate