good-repos's repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
awesome-full-stack-machine-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
beautify-github-profile
This repository helps you to have a more beautiful and attractive github profile, and you can access a complete set of tools and guides for beautifying your github profile. 🪄 ⭐
book
This is the site for the book “AI Search Algorithms for Smart Mobility”: https://smartmobilityalgorithms.github.io/book/index.html
deep-learning-keras-tf-tutorial
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
hopfield-layers
Hopfield Networks is All You Need
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
mlcourse.ai
Open Machine Learning Course
NomNaOCR
Leverage Deep Learning to digitize old Vietnamese handwritten for historical document archiving (Made with national pride in every line of code): https://www.kaggle.com/datasets/quandang/nomnaocr
notebooks
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.
Py_FS
A Python Package for Feature Selection
Python-Feature-Engineering-Cookbook-Second-Edition
Python Feature Engineering Cookbook Second Edition, published by Packt
pytorch-Deep-Learning
Deep Learning (with PyTorch)
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
TabSurvey
Experiments on Tabular Data Models
Web-Attack-Cheat-Sheet
Web Attack Cheat Sheet