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Analyzed 1 day ago. based on code collected 2 days ago.
Oct 28, 2025 — Oct 28, 2026
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
Initial commits for a Web Spider - Crawl and Scrape - done with Scrapy framework Presently it crawls Google News for a query and scrapes the search results to output a list of lines or a digest of the news link texts. This output file can be used for Sentiment Analysis with Recursive Gloss Overlap already implemented.
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- Corrections to Convolution Map Neuron computation with per-coordinate weight added - Removed hardcoded convolution stride and pooling width in the class - testlogs following input bitmap features have been added with the output of 5 neurons in final layer: - Without Zero inscribed - With Zero inscribed in bitmap as 1s - With Bigger Zero inscribed in bitmap as 1s - With Biggest Zero inscribed in bitmap as 1s The variation of final neural outputs can be gleaned as the size of the pattern increases from none to biggest. The threshold has to be set to neural output without patterns. Anything above it shows a pattern.
Srinivasan Kannan
More... almost 11 years ago
- Added a config variable for invoking cloud perfect forwarding binaries in KingCobra in asfer.conf - config_map updated in asfer.cpp for enableCloudPerfectForwarding config variable
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated Streaming_AbstractGenerator.pyc file
Srinivasan Kannan
More... almost 11 years ago
Config File support for asfer has been added. In asfer.cpp main(), read_asfer_config() is invoked which reads config in asfer.conf and executes the enabled AsFer algorithms in C++ and Embedded Python. Config key-values are stored in a map.
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- Updated AsFer Design Document - Updated Streaming_LinkedInData.py with get_connections() added
Srinivasan Kannan
More... almost 11 years ago
- Streaming_LinkedInData.py invokes get_connections() (depends on auth) - asfer.cpp invokes python embedding CPython API to execute python scripts from C++ based on a boolean flag in asfer main(). - C++ class for python embedding has been added with a Makefile script and a python generated detailed Makefile. Logs for embedding with an example python script execution have been added to cpp-src/testlogs
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
BigData Storage Backend Abstraction subsystem for AsFer: --------------------------------------------------------- - These are initial minimal commits for abstracting storage of ingested bigdata for AsFer Machine Learning code - A dependency injection implementation of database-provider-specific objects is added to repository. - Presently MySQLdb based MySQL backend has been implemented with decoupled configuration which are injected into Abstract Backend class to build an object graph. Python injector library based on Google Guice Dependency Injection Framework (https://pythonhosted.org/injector/) is used for this. Logs for a sample MySQL query has been added to testlogs/
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
- Increased number of iterations in BackPropagation to 100000; logs for this with weights printed are added in testlogs/; shows a beautiful convergence and error tapering (~10^-12) - hurricane datasets are also shown as diffs due to perm 644
Srinivasan Kannan
More... almost 11 years ago
Miscellaneous code changes: --------------------------- - Weight updates in each iteration are printed in DeepLearning_BackPropagation.py - Changed maitreya_textclient path for Maitreya's Dreams 7.0 text client; Updated to read HURDAT2 NOAA Hurricane Dataset (years 1851-2012) in MaitreyaToEncHoro.py - Maximum sequence length set to 7 for mining HURDAT2 asfer.enchoros.seqmining - New files asfer.enchoros.ascrelative.hurricanes, asfer.enchoros.zodiacal.hurricanes have been added which are created by MaitreyaToEncHoro.py - an example chartsummary for Maitreya's Dreams 7.0 has been updated - 2 logs for SequenceMining for HURDAT2 encoded datasets and Text Class Association Rules learnt by SequenceMining.py Apriori GSP have been added to testlogs/
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
1. Removed some hardcoded input data like weights and expected outputs from the python class and made them as parameters 2. Iterations have been increased to 50000. print_layers() is invoked in each iteration - convergence logs for this has been added to testlogs.
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... almost 11 years ago