Satpreet's repositories
AAI-site
NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
autodidact
A pedagogical implementation of Autograd
autograd
Efficiently computes derivatives of numpy code.
communication-subspace
Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2018)
computation-thru-dynamics
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep-learning-notes
Experiments with Deep Learning
Disentangled-Sequential-Autoencoder
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
exp-trmf-nips16
Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
glm_moment_closure
Demonstration of moment closure applied to autoregressive generaliezd linear point-process models
grid-cells
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
InformationBottleneckAlgorithms
Information Bottleneck Algorithms for Relevant-Information-Preserving Signal Processing in Python
learnopencv
Learn OpenCV : C++ and Python Examples
loss-landscape
Code for visualizing the loss landscape of neural nets
machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (Cambridge University Press).
MathsDL-spring19
Mathematics of Deep Learning, Courant Insititute, Spring 19
Matrix-Calculus
Matrix Calculus via Differentials
ML-Recipes
A collection of stand-alone Python machine learning recipes
nlp_made_easy
Explains nlp building blocks in a simple manner.
osu-cap
Supplemental materials for "Visualization and Analysis of Sensor Data for Detecting Microclimate Cold Air Pools"
PRML
PRML algorithms implemented in Python
pymuscle
A motor unit based model of skeletal muscle and fatigue
pyprobml
Python code for "Machine learning: a probabilistic perspective"
python-threading
some examples using the Python threading module
recurrent-memory
When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
sequential_social_dilemma_games
Repo for reproduction of sequential social dilemmas
Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use