aditya-zutshi Goto Github PK

-introduction-to-gis-and-geospatial-analysis-with-python-

300days__machinelearningdeeplearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

450-coding-questions-lovebabbar

🔥 This is an attempt to solve DSA Cracker Coding Questions List curated by @loveBabbar bhaiya.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

66daysofdata

#66DaysOfData Challenge

abaqus_subroutines

A repository of ABAQUS FORTRAN subroutines

aboutkhuyen

Website showing some of my accomplishments

aec-design-technologist

Resources to develop programming and software development skills

ahnextractor

Package to extract Dutch AHN data

aiforarchitects

Resources for AI for Architects

aim

Aim — an easy-to-use and performant open-source experiment tracker.

algorithm-design

algorithms-and-interviews

Learning Algorithms and Solving interview questions

algorithmsanddatastructuresinaction

Advanced Data Structures Implementation

aman-barnwal-leetcode-solutions

This repo contains my Leetcode Solutions question-wise !

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

andrew-ng-machine-learning-course-in-python

This Repository Contains code implemented by me for the Coursera Machine Learning Course taught by Profressor Andrew NG.

andys_youtube_notebooks

applied-data-science-with-python-specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

applied-deep-learning

Applied Deep Learning

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

area_weighted_average

QGIS Plugin to perform Area Weighted Average analysis.

augmax

[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

auto_video_label

Data is a huge factor in deep learning algorithms. The larger our data size, the better our model can generalize and learn. However, data preparation is a very laborious and time-consuming process. That's why I wanted to develop an application that I thought would make this stage easier. By using image processing techniques, it can track an object of your choice to a certain extent and saves the image and .txt file to the folder during tracking. Currently, it only works for one class and you can only label one object.

autocad_automation_learning

Sharing of my learning....application of python on my work....

autonlp

🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically

avila

Analysis of the Avila bible dataset from the UCI repository using several machine learning algorithms.

awesome-ds-setting

Data science setting for a new machine

awesome-machine-learning

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