Pinned Repositories
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
ACTION-Net
awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
Awesome-Incremental-Learning
Awesome Incremental Learning
Continual_Learning_CV
Continual Learning Toolbox for Computer Vision Tasks
GAN_Review
A Survey and Taxonomy of the Recent GANs Developmentļ¼computer vision & time series
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
RRLDS
Implementation of Reduced-Rank Linear Dynamical Systems for Retrieving Intrinsic Dimensionality from High-dimensional Time Series
TVpgGLM
Time-varying Generalized Linear Models with Polya-gamma augumentation
Awesome-Incremental-Learning
Awesome Incremental Learning
sheqi's Repositories
sheqi/awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
sheqi/tonetest
sheqi/circularGraph
Plot an interactive circular graph to illustrate connections in a network in MATLAB.
sheqi/e2c
TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
sheqi/gae
Implementation of Graph Auto-Encoders in TensorFlow
sheqi/ganhacks
starter from "How to Train a GAN?" at NIPS2016
sheqi/hips-lib
Library of common tools for machine learning research.
sheqi/HumanRecognition
Person Recognition System on PIPA dataset
sheqi/ICML-2017-Papers
https://2017.icml.cc/Conferences/2017/Schedule
sheqi/mememoji
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
sheqi/Neural_Decoding
A python package that includes many methods for decoding neural activity
sheqi/nonstat_plds
sheqi/overcoming-catastrophic
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
sheqi/papers
Edward content including papers, posters, and talks
sheqi/poisson-gpfa
Gaussian process factor analysis with Poisson observations
sheqi/PyCon2017
Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/
sheqi/pyglm
Interpretable neural spike train models with fully-Bayesian inference algorithms
sheqi/pyphi
A Python library for computing integrated information.
sheqi/PyProcess
Generate stochastic processes using Python. Unfortunately not maintained any longer =(
sheqi/python-sdk
:snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
sheqi/rnn-from-scratch
Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
sheqi/scikit-learn
scikit-learn: machine learning in Python
sheqi/structuredinference
Structured Inference Networks for Nonlinear State Space Models
sheqi/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
sheqi/tensorflow-lstm-sin
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
sheqi/tf-bestpractice
Tensorflow Best Practices
sheqi/tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
sheqi/thesis
My PhD Thesis
sheqi/VGPA
Variational Gaussian Process Approximation
sheqi/vilds
Black box variational inference for state space models