gumpfly Goto Github PK

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

datahigh

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

deap

Distributed Evolutionary Algorithms in Python

deep-image-prior

Image restoration with neural networks but without learning.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deepdiagnosis

A torch package for learning diagnosis models from temporal patient data.

deepdream

deepnude-an-image-to-image-technology

Research techniques and papers related to image generation and image restoration used by DeepNude. 研究DeepNude使用的图像生成和图像修复相关的技术和论文。

deepssm_sysid

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

deep_flow_control

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

deep_generative

dem_observer

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

deterministic-variational-inference

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

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

dmm

Deep Markov Models

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dpca

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

drs

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

dvbf.jl

Deep variational Bayes filter in julia using Flux

dynamicalcomponentsanalysis

Dynamical Components Analysis

electron-ssr-backup

electron-ssr原作者删除了这个伟大的项目，故备份了下来，不继续开发,且用且珍惜

embeddings

Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

episodic-curiosity

Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability

experiments_with_python

experiments with python

faster-rcnn_tf

Faster-RCNN in Tensorflow

gen3arm

generative-query-network-pytorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

glmspiketools

Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).