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activities

ambs

This is a prototype code for weather forecasting by video prediction methods

autoencoder-tensorboard-t-sne

Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

awesome-readme

A curated list of awesome READMEs

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bigdataforphm

Big Data Analytic for Prognostics and health management

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

caretensemble

this is a R function for training ensemble models

code_snippets

computer_vision_lecture_shnu

This repository contains the teaching and exercise materials for the lectures of the 2023-2024 Spring Semester in in Shanghai Normal University

containerhackathon

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

cordova-eddystone

Cordova/PhoneGap plugin for Eddystone beacons

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

dask-tutorial

Dask tutorial

deep-learning-models

Keras code and weights files for popular deep learning models.

deep_architect

DeepArchitect: Automatically Designing and Training Deep Architectures

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

distributed_training

This repository is a tutorial targeting how to train a deep neural network model in a higher efficient way. In this repository, we focus on two main frameworks that are Keras and Tensorflow.

drit

Learning diverse image-to-image translation from unpaired data

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

flask

The Python micro framework for building web applications.

futuregan

Official PyTorch Implementation of FutureGAN

gan_for_vp

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.