Abhishek Srikanth's starred repositories
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.
gitignore.io
Create useful .gitignore files for your project
go-patterns
Curated list of Go design patterns, recipes and idioms
python-patterns
A collection of design patterns/idioms in Python
php-ext-perl
This php extension embeds Perl Interpreter into PHP.
resume.github.com
Resumes generated using the GitHub informations
Front-End-Checklist
🗂 The perfect Front-End Checklist for modern websites and meticulous developers
fullstack-course4
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Symptom-X-
Using available datasets of Symptoms X diseases, I generate a graph of the same with the subgraphs consisting of illness and symptom nodes. There would be two kinds of nodes- the Symptom or Factor node and the Disease node. Using Gephi for graph visualization.
Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
PyGrid-deprecated---see-PySyft-
A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
aerial_wildlife_detection
Tools for detecting wildlife in aerial images using active learning
tf-image-segmentation
Image Segmentation framework based on Tensorflow and TF-Slim library
keras-tuner
A Hyperparameter Tuning Library for Keras
tensorflow
An Open Source Machine Learning Framework for Everyone
Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.