mortezashiripour Goto Github PK
Type: User
mortezashiripour's Projects
500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
applied-deep-learning
Applied Deep Learning Course
awesome-ai-data-github-repos
A collection of the most important Github repos for ML, AI & Data science practitioners
awesome-data-science-resoruces
A curated list of data science educational resources for essential data science skills
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
clean-code-in-python
Clean Code in Python, published by Packt
coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
dask-tutorial
Dask tutorial
data-engineering-with-aws
Data Engineering with AWS, Published by Packt
data-science-interview-questions-answers
Curated list of data science interview questions and answers
deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
distributed-training-workshop
Distributed training workshop
ds_jupyter
Jupyter Notebooks for Data Structures & Algorithms (Persian Language)
effectivepytorch
PyTorch tutorials and best practices.
efficient-python-for-data-scientists
Writing clean and optimized Python code
evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
faang-interview-preparation
Java programming exercises
fastbook
The fastai book, published as Jupyter Notebooks
federatedlearning
Material for the course "Federated Learning"
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
handson-ml3
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.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
imagebind
ImageBind One Embedding Space to Bind Them All
infinigen
Infinite Photorealistic Worlds using Procedural Generation
introduction_to_machine_learning
Introduction to Machine Learning, for B.Sc. Students, Computer Engineering Department, Sharif University of Technology
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