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Analyzed about 16 hours ago. based on code collected 1 day ago.
Nov 06, 2025 — Nov 06, 2026
Commit Message Contributor Files Modified Lines Added Lines Removed Code Location Date
------------------------------------------------------------------------------------------------------- Minimal Reinforcement Learning (Monte Carlo Action Policy Search) implementation ------------------------------------------------------------------------------------------------------- Reinforcement Learning has been implemented which changes state based on environmental observation and an appropriate policy is chosen for observation by Monte Carlo Random Policy Search based on which rewards for each transitions are accumulated and output in the end. Logs for 3 consecutive executions of Reinforcement Learning have been committed with differing total rewards gained. Input observations are read from text file ReinforcementLearning.input.txt.
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
------------------------------------------------------------------------------------------------- Recurrent Neural Network Long Term Short Term Memory - Deep Learning - Implementation ------------------------------------------------------------------------------------------------- A very minimal python implementation of LSTM RNN based on Schmidhuber-Hochreiter LSTM has been added to already existing AsFer algorithms repertoire. LSTM RNN has gained traction in recent years in its variety of applications in NLP, Speech Recognition, Image Pattern Recognition etc., The logs for this implementation show a convergence of final output layer in 25th iteration itself (out of 10000). Learning the weights requires other algorithms like Gradient Descent, Backpropagation (and there are already known limitations in weight learning with these)
Srinivasan Kannan
More... over 10 years ago
- getopts implementation for commandline args parsing has been introduced. - an example logs for possible high precipitation longitude/latitudes in future dates - July 2016 - predicted by sequence mining learnt rules from past data has been added to testlogs/
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Python CAPI interface to NEURONRAIN VIRGO Linux System Calls has been updated to include File System open, read, write primitives also. Rebuilt extension binaries, kern.logs and example appended text file have been committed to testlogs/. This is exactly similar to commits done for Boost::Python C++ interface. Switch clause has been added to select memory or filesystem VIRGO syscalls.
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
more kern.log(s) for VIRGO cloudfs system calls invocation from AsFer C++-Boost::Python
Srinivasan Kannan
More... over 10 years ago
VIRGO CloudFS system calls have been added (invoked by unique number from syscall_32.tbl) for C++ Boost::Python interface to VIRGO Linux System Calls. Switch clause with a boolean flag has been introduced to select either VIRGO memory or filesystem calls. kern.log and CloudFS textfile Logs for VIRGO memory and filesystem invocations from AsFer python have been committed to testlogs/
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document - Section 275 added
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Sequence Mining in Prime binary strings has been made sophisticated: - Prints each binary string sequence pattern in decimals upto maximum of 15-bit sequences mined from first 10000 primes. - This decimals are written to a file PatternInFirst10000Primes.txt - Approx.py R+rpy2 has been invoked to print an R function plotter of this decimal pattern in prime binary string sequences - The function plots the sequences in Y-axis and length of sequences in asscending orider in X-axis(with decreasing support) - As can be seen from pdf plot, the sequences show dips amongst peaks periodically.
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago
------------------------------------------------------------------------------------------- Sequence Mining of Prime Numbers as binary strings ------------------------------------------------------------------------------------------- - First 10000 prime numbers have been written to a text file in binary notation in complement.py - SequenceMining.py mines for most prominent sequences within prime binary strings - a measure of patterns in prime distribution - Logs for this have been committed to testlogs/
Srinivasan Kannan
More... over 10 years ago
Updated AsFer Design Document
Srinivasan Kannan
More... over 10 years ago