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aika

Aika is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses representing the knowledge the network has already acquired and another graph consisting of activations and links describing the information the network was able to infer about a concrete input data set. There is a one-to-many relation between the neurons and the activations. For example, there might be a neuron representing a word or a specific meaning of a word, but there might be several activations of this neuron, each representing an occurrence of this word within the input data set. A consequence of this decision is that we have to give up on the idea of a fixed layered topology for the network, since the sequence in which the activations are fired depends on the input data set. Within the activation network, each activation is grounded within the input data set, even if there are several activations in between. This means links between activations serve two purposes. On the one hand, they are used to sum up the synapse weights and, on the other hand they propagate the identity to higher level activations.

autosub

[NO LONGER MAINTAINED] Command-line utility for auto-generating subtitles for any video file

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

chevereto-free

Open Source image hosting software

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-semi-nmf

Theano-based implementation of Deep Semi-NMF.

dmd_for_human_motion

dnsmasq_sniproxy_install

One-click Install and Configure Dnsmasq and Sniproxy for CentOS/Debian/Ubuntu

dplyr

Dplyr: A grammar of data manipulation

elasticsearchr

Lightweight Elasticsearch client for R.

ensemblefhmm

R package for ensemble MCMC for Factorial Hidden Markov Models

fluent-reader

Modern desktop RSS reader built with Electron, React, and Fluent UI

hdbscan

层次密度聚类研究（用与用户聚类） 分理论与实际

imgurl

ImgURL是一个简单、纯粹的图床程序，让个人图床多一个选择。

largevis

An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R

mdpic

利用Github实现自己的图床！ Use Github Build Your Own Markdown Picture Server

online-nilm

Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"

pymf3

Python Matrix Factorization Module

screenote

semi-nmf

semi non-negative matrix factorization project

sub

纯kotlin实现, 节点爬取,筛选, 支持Clash,base64订阅解析,定期生成可用的ss, ssr, v2ray, trojan节点

tf_crf_layer

CRF(Conditional Random Field) Layer for TensorFlow 1.X with many powerful functions

transfernilm

Transfer Learning for Non-Intrusive Load Monitoring

violet

写作爱好者的同步工具

weibo-picture-store

🖼 新浪微博图床 Chrome/Firefox 扩展，支持同步到微相册