jgdshkovi Goto Github PK

advanced-motion-detection-system

It's a motion detection system using Raspberry pi, as detailed in READ-ME

aero3-0

awesome-tflite

A curated list of awesome TensorFlow Lite models, samples, tutorials, tools and learning resources.

benn

REPO for Internship at Bennett Uni

chess

Chess program with AI

competitive_programming

My solutions to programming contest problems from different sources (UVa, TopCoder, Live Archive, SPOJ, etc).

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

course-v3

The 3rd edition of course.fast.ai

desktopassistant

Desktop assistant that uses speech recognition and gTTS to execute commands and talk back to the user.

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

final_yr_proj

finall

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

html

java-training

jgdshkovi.github.io

me

trying things out

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mnist-digit-predictor

This project takes an image as an input and predicts it.

mnist-with-tf-2.0

Playing around with MNIST dataset

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

paintinglight

Generating Digital Painting Lighting Effects via RGB-space Geometry (SIGGRAPH2020/TOG2020)

pca-from-scratch-iris-dataset

Implementing PCA from Scratch for iris dataset

portfolio

My Portfolio Website

practice

py3readiness

Python 3 support graph for most popular packages

pyboy

Game Boy emulator written in Python

python-xmeans

a python xmeans implementation

pytorch-deep-learning

Deep Learning (with PyTorch)