praveentn/hgwxx7
Data Science, Machine Learning, Natural Language Processing, Deep Learning, Quantum Information Processing, Quantum Computing
This repository offers a collection of practical examples and code for various machine learning and deep learning algorithms. It helps data scientists and machine learning engineers understand and implement these techniques by providing working samples with associated data. You can explore different approaches to common data science problems using these examples.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking for concrete, working examples of ML and DL algorithms with readily available data to learn from or adapt.
Not ideal if you are looking for a ready-to-use application, an SDK, or a solution for a specific business problem without needing to write or adapt code.
Stars
8
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/praveentn/hgwxx7"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NeuromatchAcademy/course-content-dl
NMA deep learning course
huggingface/computer-vision-course
This repo is the homebase of a community driven course on Computer Vision with Neural Networks....
rasbt/MachineLearning-QandAI-book
Machine Learning Q and AI book
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
gyunggyung/PyTorch
PyTorch tutorials A to Z