yamunans Goto Github PK
Type: User
Type: User
Dropout as Regularization and Bayesian Approximation
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
gaze estimation 论文整理
List of papers and code for relevant Generative Models
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Solutions to Leetcode.com problems.
LeetCode Solution
This repository contains exercise files in the LinkedIn Learning course "Machine Learning with Python: Decision Trees" by Frederick Nwanganga.
This repository contains the exercise files in the LinkedIn Learning course "Neural Networks and Convolutional Neural Networks Essential Training" by Jonathan Fernandes.
This repository contains all the exercise files in the LinkedIn Learning course "NLP with Python for Machine Learning Essential Training" by Derek Jedamski.
Practical Full-Stack Machine Learning
Machine Learning for Imbalanced Data, published by Packt
This Contain Some Machine Learning Projects that I have done while understanding ML Concepts.
Machine Learning (Coursera)
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Mastering Big Data Analytics with PySpark, Published by Packt
🔥Highlighting the top ML papers every week.
📺 Discover the latest machine learning / AI courses on YouTube.
Resurces for MRI images processing and deep learning in 3D
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Python implementation of different Natural Language Processing tasks
Important points and code from the famous book: Natural Language Processing using python by Steven Bird, Ewan Klein and Edward Loper
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Analyse the factors which lead to online shopping on a website and building predictive models for it.
The projects which made by me while self learning.
Guided Project using PySpark for Data-Analysis from Coursera.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Practice your Python programming skills with this interactive and auto-graded set of exercises.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.