100-days-of-ml-code

100 Days of ML Coding

awesome-deep-ecology

A curated list of deep learning papers in ecology.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of HQ open datasets.

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

data-science--cheat-sheet

Cheat Sheets

deakin-simpsons-challenge2021

The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

everest-momo-curry-house

Everest Momo & Curry House

few-shot-object-detection

Implementations of few-shot object detection benchmarks

fewshotdetection

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

fewshotvision

Code for Master research internship report : https://arxiv.org/abs/1909.13579

fewshotwithoutforgetting

image-recognition-system

The inspiration of this system is to identify the species of flower. The dataset contains labeled flowers type. This system can be used to recognize flower type from the photos.

interview-question-data-science-

machine_learning

SIT720 - Machine Learning

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

ml-classification-bank-marketing

Decision Tree Classification and Random Forest Classification supervised machine learning algorithms are used to predict if customer will subscribe to a term deposit.

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

nlp_course

YSDA course in Natural Language Processing

nsl_kdd_classification

Cyber-attack classification in the network traffic database using NSL-KDD dataset

numpy

This repository includes some of the basic numpy commands which are good for the beginners.

portfolio-pradeep

pradeepthapa

pradeepthapa.github.io

My portfolio, please visit https://pradeepthapa.github.io

pythonscripts

Some useful and common scripts for future use

pytorch-1.x-reinforcement-learning-cookbook

PyTorch 1.x Reinforcement Learning Cookbook, published by Packt

real-time-face-detection

Realtime Face Detection using Azure vision services