Qihong Lu (qihongl)

qihongl

Geek Repo

Company:Princeton University

Location:Princeton, NJ, USA

Home Page:https://qihongl.github.io/

Twitter:@Qihong_Lu

Github PK Tool:Github PK Tool


Organizations
brainhack-princeton
brainiak
brainiak-tutorial-spring-2021
IntelPNI
NEU480
NP330
PrincetonCompMemLab
PrincetonUniversity
ProjectSEM
ReScience

Qihong Lu's repositories

nnsrm-neurips18

Lu, et al. (2018) Shared Representational Geometry Across Neural Networks. Workshop on Integration of Deep Learning Theories, NeurIPS.

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pylca

A python implementation of the leaky, competing, accumulator (Usher, & McClelland, 2001).

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matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

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arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

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demo-td

TD, a model of second/higher order conditioning

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dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

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evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

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gc_test

test of git classroom

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GLMM-in-Python

Generalized linear mixed-effect model in Python

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Gridworld-with-Q-Learning-Reinforcement-Learning-

Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.

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hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

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kde

Idyll example post about kernel density

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keract

Activation Maps (Layers Outputs) and Gradients in Keras.

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keras-attention-mechanism

Attention mechanism Implementation for Keras.

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keras-nets-demo

Keras examples

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NeuralTuringMachine

Tensorflow implementation of a Neural Turing Machine

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ntm_keras

An implementation of the Neural Turing Machine as a keras recurrent layer.

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PhenoGraph

Subpopulation detection in high-dimensional single-cell data

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pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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qmvpa

my mvpa package

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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ReScience-submission

ReScience submission repository

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srm_group_classif_sim

simulation: group/condition identification with a SRM-based denoising routie

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test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

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