Discover @elishatofunmi Open Source projects

Odemakinde Elisha Jesutofunmi (@elishatofunmi)

elishatofunmi

Stars
80
Global Rank 244,154 (Top 9 %)
Followers 79
Following 34
Registered over 7 years ago
Most used languages

Jupyter Notebook
76.2 %

VHDL 14.3 %

Python
9.5 %
Location 🇳🇬 Nigeria
Country Total Rank 439
Country Ranking

VHDL 3

Jupyter Notebook
10

Python
153

Computer-Vision

Computer vision based technologies implemented using tensorflow from ground up

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pyfootball

A reinforcement learning environment for football game using model-free markov process

pytennis-Discrete-Mathematics-Approach-

A reinforcement learning based tennis game - Discrete mathematics approach

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Presentations

Data Science, machine learning and deep learning talks and presentation.

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pytennis-Deep-Q-Network-DQN-

An implementation of a reinforcement learning environment for tennis games using Deep Q Network (DQN)

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data-preprocessing

contains all related preprocessed datascience files

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data-science-preview

contains competitive tasks related to datascience

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Home-Domain-Igbo-to-yoruba-Translation

This project contains a detailed chronological encoder to decoder model built using simple machine learning algorithms for English to Igbo languages (machine translation problem). It also contains other NLP based projects.

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Neural_networks

Neural network and deep learning using tensorflow, keras, numpy e.t.c.

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Game-Collage

A collection of games built using pygames

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pyconng2019

This repository contains my talk on python implementation of spiking Neural network. This presentation begins from an overview of Neural Networks up to spiking Neural Networks

gas_sensor_data

An hands on preprocessing of the UCI gas sensor dataset for edge computation

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Microprocessor-chips

VHDL implementation of a microprocessor

miscellaneous

Rough work coding

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Neural_chips

VHDL implementation of Neural Network

CNN-on-FPGA

This repository shows how to run convolutional Neural Networks algorithm on FPGA.

TenseFlex

A TensorFlow neural network parameter hypertuner. It helps to select the best number of neurons for each layer, depth and finally an optimized optimizer. It requires the use of TPU's or GPU's to run effectively

VHDL

VHDL implementation of Digital systems for automation

project-coast

Application based project

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Medium-Intelligence

Medium documentations, articles, scripts, write ups and tutorials

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super-resolutor

A paper work on mapping low resolution images into high resolution images

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Electric-VLSI-Digital-system-designs

This repository consists of various electronical digital designs and libaries which i built using spice models from www.cmosedu.com

master-class-in-tensorflow

This masterclass is an online webinar session by @datasciencenigeria for her community to foster further study and understanding of data science, machine learning and Artificial Intelligence

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Fourier-Transforms-image-processing-

Application of Fourier transforms for image processing and video processing

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