mohsenheydari92's Stars
PacktPublishing/Data-Engineering-with-AWS
Data Engineering with AWS, Published by Packt
PacktPublishing/Data-Engineering-with-AWS-2nd-edition
Data Engineering with AWS, 2nd edition - Published by Packt
rajesh-s/computer-architecture-and-systems-resources
A curated list of Computer Architecture and Systems resources
keyvank/tsp
The Super Programmer
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ashishps1/awesome-system-design-resources
Learn System Design concepts and prepare for interviews using free resources.
public-apis/public-apis
A collective list of free APIs
pytopia/Python-Programming
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
barry-far/V2ray-Configs
🛰️✨ Free V2ray Configs , Updating Every 10 minutes.
tensorflow/tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
elmoallistair/google-data-analytics
google data analytics professional certificate
ehmatthes/pcc
Resources for Python Crash Course, from No Starch Press.
ageron/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.
quanghuy0497/Deep-Learning-Specialization
Coursera's Deep Learning Specialization offered by deeplearning.ai.
ageron/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.
edgarsmdn/MLCE_book
Hands-on material for a Machine Learning in Chemical Engineering course
johnmoses/coursera-mlops-specialization
Coursera Machine Learning Engineering for Production Specialization Course
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
MichalDanielDobrzanski/DeepLearningPython
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
sbednarz/modeling
Modeling in Chemical Technology: Numerical Calculations with Python
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
aikorea/awesome-rl
Reinforcement learning resources curated