ddoyediran
Hardcore problem solver (passionate about contribute to solving problems that impact our community positively).
ddoyediran's Stars
munificent/craftinginterpreters
Repository for the book "Crafting Interpreters"
fullstorydev/emulators
High quality cloud service emulators for local development stacks
sukanyapatra1997/ForecastAD
AnamSajid27/Capgemini-Training
All Capgemini Assignments (Full Stack Java Developer Training)
fffaraz/awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
ssldhl/maharishi
Question and Solutions of Maharishi University
sekayasin/MIU-Practice-Tests
Sample Practice Test Question Katas To prepare You For MIU/MUM MSCS Program
DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about building a Q&A system
microsoft/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
manfreddiaz/awesome-autonomous-vehicles
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
kiloreux/awesome-robotics
A list of awesome Robotics resources
OpenDriveLab/End-to-end-Autonomous-Driving
[IEEE T-PAMI] All you need for End-to-end Autonomous Driving
GoogleCloudPlatform/applied-ai-engineering-samples
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
PacktPublishing/The-Machine-Learning-Solutions-Architect-Handbook
The Machine Learning Solutions Architect Handbook, published by Packt
google-deepmind/mathematics_dataset
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
shiernee/Advanced_ML
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
vincentfpgarcia/from-pytorch-to-coreml
A simple guide that explains the steps from training a simple PyTorch image classifier to converting the generated neural network into a CoreML model ready for production
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
zhanymkanov/fastapi-best-practices
FastAPI Best Practices and Conventions we used at our startup
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
aidotse/SweBERT
Arbetsförmedlingen's Swedish BERT models
jerry-git/learn-python3
Jupyter notebooks for teaching/learning Python 3
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
google/temporian
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
google/nearby
🐿️ A collection of projects focused on connectivity that enable building cross-device experiences.
Ebazhanov/linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
alexeygrigorev/clothing-dataset
Closing dataset, all classes