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Türkçe kaynağa destek olması amacıyla oluşturulmuş bir kaynaktır. Konu anlatımının yanı sıra C#, Java, Go, Python, Kotlin ve TypeScript gibi birçok dilde tasarım desenlerinin uygulamasını içermekte…
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Python sample codes for robotics algorithms.
🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!
LLM Zoomcamp - a free online course about building a Q&A system
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
💫 Industrial-strength Natural Language Processing (NLP) in Python
Implementation of Diffusion Transformer (DiT) in JAX
Repository of small data analysis and visualisation projects to try out libraries and create new types of visualisations. Mostly using Python.
Kod, matematik, çoklu-çerçeveler ve tartışmalar içeren etkileşimli derin öğrenme kitabı. 55 ülkede Stanford, MIT, Harvard, and Cambridge dahil 300 üniversitede kullanılmaktadır.
Capstone Project for the course offered by IBM.
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
TensorFlow 2.X hakkında (Türkçe) öğretici notebooklar paylaşıyorum. Repoyu yararlı bulursanız yıldızlayarak destek olabilirsiniz :)
Data Analysis of some datasets, from the time when I was learning Pandas and Sklearn.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Makine Öğrenmesi, Derin Öğrenme, İstatistik Notlarım
Hands-on Exploratory Data Analysis with Python, published by Packt
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
Transformers 3rd Edition
You like pytorch? You like micrograd? You love tinygrad! ❤️
⚡ A Fast, Extensible Progress Bar for Python and CLI
🍧 DataCamp data-science and machine learning courses