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000aigenivaan

02456-deep-learning-with-pytorch

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

100 Days of ML Coding Challenge

100-nlp-papers

100 Must-Read NLP Papers

100-plus-python-coding-problems-with-solutions

A list of python problems for beginners and intermediate developers

100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course

16385_fall2020_notebooks

18s191

Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia

30-day-readmission

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

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

3d-gan-superresolution

3D super-resolution using Generative Adversarial Networks

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

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

6.s089-intro-to-quantum-computing

Quantum computation is a growing field at the intersection of physics, computer science, electrical engineering, and applied math. This course provides an introduction to the basics of quantum computation. Specifically, we will cover some fundamental quantum mechanics, survey quantum circuits, and introduce the most significant quantum algorithms. Furthermore, we will survey advanced topics towards the end of the course. In the past, these topics have included quantum error correction, quantum communication, and applications to fields ranging from machine learning to chemistry. This course is self-contained and does not require any prior knowledge of quantum mechanics.

66days__naturallanguageprocessing

I am sharing my Journey of 66DaysofData in Natural Language Processing.

a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

a-novel-approach-for-network-intrusion-detection-using-probability-parameter-to-ensemble-machine-lea

I WILL RELEASE THE CODE AFTER MY PAPER IS PUBLISHED.Aim of this project is to develop an algorithm which has better performance than the existing methods.This project is basically detecting any unauthorised intruder in the network.This intruder can be through DDOS, Probe attack, U2R ,R2L attacks,etc.NSL-KDD and CIC-NID-2017 datasets have been used for training the models.

academiccontent

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

accellerate

Using Machine Learning for Nuclei detection in order to accelerate medical discovery, drug discovery & cures for diseases

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

advanced-computer-vision-projects

Code repository for Advanced Computer Vision Projects, Published By Packt

advanced-machine-learning-specialization

Advanced Machine Learning Specialization on Coursera

advanceddeeplearningcourse

advancednetworksecurityprojects

Network security related project collection.

advent2020

advent of code 2020

aerosolve

A machine learning package built for humans.

ai

Microsoft AI

ai-accelerators-examples

Examples of AI Accelerators - GPU, AWS Inferential and Elastic Inference