gumpfly

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/ACoL

Adversarial Complementary Learning for Weakly Supervised Object Localization

gumpfly/adda

gumpfly/awesome-rl

Reinforcement learning resources curated

gumpfly/bayespy

Bayesian Python: Bayesian inference tools for Python

gumpfly/cpc-tensorflow

Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"

gumpfly/DataHigh

DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity

gumpfly/deap

Distributed Evolutionary Algorithms in Python

gumpfly/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

gumpfly/deep_flow_control

Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NIPS 2018

gumpfly/deterministic-variational-inference

Sample code for running deterministic variational inference to train Bayesian neural networks

gumpfly/dnc

A TensorFlow implementation of the Differentiable Neural Computer.

gumpfly/DVBF.jl

Deep variational Bayes filter in julia using Flux

gumpfly/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.

gumpfly/influence-release

gumpfly/kvae

Kalman Variational Auto-Encoder

gumpfly/large-scale-curiosity

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

gumpfly/leela-zero

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

gumpfly/M-ADDA

Domain Adaptation Based on the Triplet Loss

gumpfly/MCD_DA

gumpfly/Neural-Scene-Representation-and-Rendering

Generative Query Network for rendering 3D scenes from 2D images

gumpfly/PADA

Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)

gumpfly/Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

gumpfly/pyhsmm_spiketrains

Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.

gumpfly/pytorch-grad-cam

PyTorch implementation of Grad-CAM

gumpfly/rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

gumpfly/SpatialNeuronNet

Codes for the paper: Huang C, Ruff DA, Pyle R, Rosenbaum R, Cohen MR and Doiron B (2018) “Circuit models of low dimensional shared variability in cortical networks”, Neuron (in press).

gumpfly/SPG

Self-produced Guidance for Weakly-supervised Object Localization

gumpfly/svae

code for Structured Variational Autoencoders

gumpfly/transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

gumpfly/vind

Tensorflow Implementation of VIND