turhancan97's Stars
public-apis/public-apis
A collective list of free APIs
cobanov/paul-graham-turkce
Bu repo paulgraham.com adresindeki denemelerin Turkceye cevrilmis hallerinin yayinladigi gonulluluk ile buyuyen bir kaynaktir.
zhiwehu/Python-programming-exercises
100+ Python challenging programming exercises
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
AhmetFurkanDEMIR/Python-Workouts
Python Workouts
irem-komurcu/remote-sensing-deep-learning
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
kadirnar/combat-drone
Savaşan İnsansız Hava Aracı için Hedef Takip Sistemi
EbookFoundation/free-programming-books
:books: Freely available programming books
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
Valthoron/hexapod-mk1-python
Controller program for a hexapod robot.
ml874/Data-Science-Cheatsheet
lnishan/awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
cobanov/dataeng-bootcamp
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
rebecca-vickery/data-science-learning-resources
A comprehensive list of free resources for learning data science
ssayginyildiz/Veri-Bilimi_Yol-Haritasi__ve__Kaynak-Havuzu
mftnakrsu/Tf2-ObjectDetectionAPI
Tensorflow 2 Object Detection API kurulumu, GPU desteği, custom model hazırlama, label map oluşturma
ossu/data-science
📊 Path to a free self-taught education in Data Science!
ossu/bioinformatics
:microscope: Path to a free self-taught education in Bioinformatics!
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
arslanbilal/git-cheat-sheet
:octocat: git and git flow cheat sheet
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
microsoft/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
dataprofessor/streamlit_freecodecamp
Build 12 Data Apps in Python with Streamlit
boston-dynamics/spot-sdk
Spot SDK repo
facebookresearch/svoice
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
gaih/introduction-to-machine-learning-archived
deeplearningturkiye/turkce-yapay-zeka-terimleri
Çalışmalarınızda kullanabileceğiniz Türkçe Yapay Zeka Terimleri.
deeplearningturkiye/turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.