shivamsingh17 Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial-jets

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

applied-deep-learning-with-tensorflow

Learn distributed deep learning techniques with TensorFlow 1.8+

autofocus-layer

autokeras

This is an automated machine learning (AutoML) package.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

awesome-rl

Reinforcement learning resources curated

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bert

calodnn

3D CNN for Calorimetry

certifications

It contain all certificates of my successfully completed courses

cheat-sheets

A cheat sheet can be really helpful when you're trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well.

cms-jupyter-materials-english

This repository contains material for classroom activities using open data from CMS CERN. Materials include basic introduction to Python and Jupyter Notebooks and ready exercises for the classrooms. LEARN: import csv-files, select data, plot histograms, python, particle physics e.g. two muon spectrum

cnn_deeplearning.ai

competetive_coding

Colab notebook of all good problems

competitive-programming-cheat-sheet

C++ Cheat Sheet for ACM ICPC

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep_learning_codes

Practise code to clear basic concepts from scratch

deeplearning-models

A collection of various deep learning architectures, models, and tips

developerfolio

Software Developer Portfolio Template that help you showcase your work and skills as a software developer ⚡️

developerworks

devportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

dlaicourse

Notebooks for learning deep learning

dsathep-tutorial