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ai_vision_tool

Tool for vision tasks

applied-ml-online-courses

This repository is for online ML courses Notebook from Coursera

course-v3

The 3rd edition of course.fast.ai

crop-type-mapping

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

cs50_basic

CS50 basic flask and CSS description

cse515t

Materials for Bayesian Methods in Machine Learning Course

cv_related_test

cv_realted_test

cv_tools

cv_tools

deep-learning-explained

This repository contains the lab files for Microsoft course DAT236x: Deep Learning Explained

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

detection_test

Object detection testing

diffusion_model_test

dinov2

dinov2 code test

documentation

Plotly's Documentation

fastai

The fastai deep learning library, plus lessons and tutorials

fastai_course_notes

fastai_live_coding_2022

Live Coding Session

fastbook

The fastai book, published as Jupyter Notebooks

fine_tune_sam

finetune Sagement Anything Model with own data

flask_blog

FlskBlog like webapp

git_tutorial

CoreySchafer Tutorial video

github-example

This repository is a demonstration of how to create github repository and properly set it up

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.

hasangoni

Config files for my GitHub profile.

hasangoni.github.io

Object Detection Transfer Learning

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

i3_tutorial

ijepa-try

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)