Pinned Repositories
SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
CNN-Tutorial
Convolutional Neural Networks Tutorial Materials, Jan 2018
im2im2im
Composable unpaired image to image translation
Intro-to-Neural-Networks-O-Reilly-AI
Introduction to Neural Networks with Keras, O'Reilly Artificial Intelligence Conference 2017, Tutorial
LearnPythonNYC_NeuralNetTutorial
Materials for Intro to Neural Networks in Python tutorials, Learn Python NYC Meetup
MultimodalGame
Neural-Networks-Workshop-Materials-WiMLDS
Materials for Neural Networks Workshop, January 21 2017, WiMLDS
NeuralNetwork
Vectorized implementation of a general feedforward neural network in Python
PCA
Matlab code to compare the performance of principal component regression, linear regression and ridge regression
Sparse-Building-Blocks-DNNs
Comparison of sparse vs. dense matrix encodings for pruned fully connected and convolutional neural network layers on a GPU
lgraesser's Repositories
lgraesser/MultimodalGame
lgraesser/Intro-to-Neural-Networks-O-Reilly-AI
Introduction to Neural Networks with Keras, O'Reilly Artificial Intelligence Conference 2017, Tutorial
lgraesser/Neural-Networks-Workshop-Materials-WiMLDS
Materials for Neural Networks Workshop, January 21 2017, WiMLDS
lgraesser/CNN-Tutorial
Convolutional Neural Networks Tutorial Materials, Jan 2018
lgraesser/NeuralNetwork
Vectorized implementation of a general feedforward neural network in Python
lgraesser/PCA
Matlab code to compare the performance of principal component regression, linear regression and ridge regression
lgraesser/LearnPythonNYC_NeuralNetTutorial
Materials for Intro to Neural Networks in Python tutorials, Learn Python NYC Meetup
lgraesser/im2im2im
Composable unpaired image to image translation
lgraesser/Image_Similarity
Identifies similar images using the spatial envelope of an image. Removes duplicates and tags images
lgraesser/SLM-experiment-log
Log of all pending and completed experiments run using the SLM Lab
lgraesser/Sparse-Building-Blocks-DNNs
Comparison of sparse vs. dense matrix encodings for pruned fully connected and convolutional neural network layers on a GPU
lgraesser/ShapeWorld
lgraesser/MCER
Model Caption Epoch Repeat
lgraesser/simpleImageProc
Simple set of functions for manipulating images, displaying in jupyter notebook & converting to arrays
lgraesser/stat-nlp-nyu
Statistical Natural Language Processing at NYU