Shikhargupta/Spiking-Restricted-Boltzmann-Machine

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Python
Created almost 7 years ago
Updated almost 7 years ago

Shikhargupta/Spiking-Restricted-Boltzmann-Machine

Shikhargupta

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RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

Spiking-Neural-Network

Pure python implementation of SNN

vision-based-autonomous-UAV

Robot Operating System framework for autonomous landing of miniature UAV in non-GPS mode.

Machine-Learning-and-Pattern-Recognition

Implementation of Machine Learning Algorithms

snn-brian-mlp

Spiking MLP built using BRIAN

computer-vision-techniques

Implementation of a few prevelant computer vision techniques using Python

Smart-Highways-Internet-of-Things

Real time monitoring of highways

Seismic-Simulation-Digital-Signal-Processing-

Simulation of aftershock using a wavelet-based description of the time frequency characteristics of a class of earthquake accelerograms and proposes three-parameter models for the modulation of wavelet coefficient envelopes of different frequency bands.

MCU-Development-STM32

Peripheral Driver Development over STM32 Microcontroller Unit

Digital-Design-Logic-synthesis-

Verilog HDL codes for various IP cores along with their testbenches and gate level layout (XILINX)

RC_CA_HD_Papers

Database of Reconfigurable Computing, Computer Architecture and Hardware Design Papers

rl-teacher-atari

Reinforcement-Learning

Summary and Solutions to the online course - Artificial Intelligence: Reinforcement Learning in Python by Lazy Programmer on Udemy