yongrong-qiu

Activation-Maximization

Python implementation of activation maximization with PyTorch.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

BayesianNSI

Bayesian system identification for neural prediction

captum

Model interpretability and understanding for PyTorch

djutils

Datajoint Utilities

docker-openssh-server

experanto

Python package to interpolate recordings and stimuli of neuroscience experiments

foundation

Neuronal recordings and Foundation models

geomstats

Computations and statistics on manifolds with geometric structures.

hybrid-model

Efficient coding of natural scenes for neural system identification

yongrong-qiu/Activation-Maximization

Python implementation of activation maximization with PyTorch.

yongrong-qiu/bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

yongrong-qiu/BayesianNSI

Bayesian system identification for neural prediction

yongrong-qiu/captum

Model interpretability and understanding for PyTorch

yongrong-qiu/djutils

Datajoint Utilities

yongrong-qiu/docker-openssh-server

yongrong-qiu/experanto

Python package to interpolate recordings and stimuli of neuroscience experiments

yongrong-qiu/foundation

Neuronal recordings and Foundation models

yongrong-qiu/geomstats

Computations and statistics on manifolds with geometric structures.

yongrong-qiu/hybrid-model

Efficient coding of natural scenes for neural system identification

yongrong-qiu/KubernetesMLExample

yongrong-qiu/lucent

Lucid library adapted for PyTorch

yongrong-qiu/mei

Visualize features cells are responsive to via gradient ascent.

yongrong-qiu/mouse-scene-cam

Description of a "mouse cam", a UV-green camera to record footage from the natural habitat of mice

yongrong-qiu/neural_manifolds_replicaMFT

yongrong-qiu/neuralpredictors

Machine Learning Utils of Sinzlab

yongrong-qiu/nnfabrik

A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models.

yongrong-qiu/PapersReimplementations

Personal short implementations of Machine Learning papers

yongrong-qiu/PINN_scratch

yongrong-qiu/pipeline

Schemata and libraries for neuroscientific data

yongrong-qiu/pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

yongrong-qiu/pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

yongrong-qiu/pytorch-ssim

pytorch structural similarity (SSIM) loss

yongrong-qiu/sensorium

Code base for the SENSORIUM competition.

yongrong-qiu/sensorium_2023

repo for the sensorium 2023 competition