Pinned Repositories
ACoL
Adversarial Complementary Learning for Weakly Supervised Object Localization
adaptiveOptimalTraining
adaptive optimal training of animal behavior
adda
advanced-r
Source code for 'Advanced R' by Matt Wiley and Joshua F. Wiley
asnets
Source for Action Schema Networks paper (AAAI'18)
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
awesome-matlab
A curated list of awesome Matlab frameworks, libraries and software.
pytorch-mace
A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
gumpfly's Repositories
gumpfly/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
gumpfly/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
gumpfly/awesome-matlab
A curated list of awesome Matlab frameworks, libraries and software.
gumpfly/cr-sparse
Functional models and algorithms for sparse signal processing
gumpfly/DeepSSM_SysID
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
gumpfly/DEM_observer
gumpfly/drs
gumpfly/DS-GA-3001-Deep_Kalman_Filter
This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf
gumpfly/DynamicalComponentsAnalysis
Dynamical Components Analysis
gumpfly/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
gumpfly/gumpfly.github.io
gumpfly/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
gumpfly/hmnlica
Hidden Markov Nonlinear ICA
gumpfly/iml
iml: interpretable machine learning R package
gumpfly/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.
gumpfly/lfads-cd
Implementation of latent factor analysis via dynamical systems (LFADS) model with coordinated dropout (CD) and sample validation (SV)
gumpfly/lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
gumpfly/MARSS
Multivariate Autoregressive State-Space Modeling with R
gumpfly/NeuralNetworkPointProcess
code for "Fully Neural Network based Model for General Temporal Point Processes"
gumpfly/nlp_course
YSDA course in Natural Language Processing
gumpfly/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
gumpfly/pmtk3
Probabilistic Modeling Toolkit for Matlab/Octave.
gumpfly/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
gumpfly/Skater
Python Library for Model Interpretation/Explanations
gumpfly/spikes
Code for spike coding networks
gumpfly/spykes
Tools for spike data analysis and visualization
gumpfly/ssm
Bayesian learning and inference for state space models
gumpfly/TCN
Sequence modeling benchmarks and temporal convolutional networks
gumpfly/tree_structured_rslds
Tree-structured recurrent switching linear dynamical systems
gumpfly/VBA-toolbox
The VBA toolbox