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glm_and_izhikevich

This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural responses.

glmspiketraintutorial

Simple tutorial on Gaussian and Poisson GLMs for single and multi-neuron spike train data

gm_submodular

google-research

Google AI Research

gp-rnn_uai2019

Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks", Qi She, Anqi Wu, UAI2019

grad-cam

[ICCV 2017] Torch code for Grad-CAM

grad-cam-pytorch

PyTorch implementation of Grad-CAM

grad-cam-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

grad_cam_plus_plus

A generalized gradient-based CNN visualization technique

gumpfly.github.io

hierarchical-hidden-markov-model

Matlab Implementation of "The Hierarchical Hidden Markov Model: Analysis and Applications"

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hmnlica

Hidden Markov Nonlinear ICA

htmresearch

Experimental algorithms. Unsupported.

iml

iml: interpretable machine learning R package

influence-release

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kvae

Kalman Variational Auto-Encoder

large-scale-curiosity

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

ldr

code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

lfads-cd

Implementation of latent factor analysis via dynamical systems (LFADS) model with coordinated dropout (CD) and sample validation (SV)

lfads-run-manager

Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

m-adda

Domain Adaptation Based on the Triplet Loss

machinelearning-c---code

using c++ code to show the example of machine learning

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marss

Multivariate Autoregressive State-Space Modeling with R

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow