Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
CREMA-D
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
DADA
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
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.
improved-gan
Code for the paper "Improved Techniques for Training GANs"
Learning_Python_5thE
Learning Python 5th edition Code (Mark Lutz)
Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
yasinyuksel's Repositories
yasinyuksel/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
yasinyuksel/CREMA-D
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
yasinyuksel/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
yasinyuksel/DADA
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
yasinyuksel/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
yasinyuksel/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
yasinyuksel/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.
yasinyuksel/improved-gan
Code for the paper "Improved Techniques for Training GANs"
yasinyuksel/Learning_Python_5thE
Learning Python 5th edition Code (Mark Lutz)
yasinyuksel/Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
yasinyuksel/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
yasinyuksel/practical-python
Practical Python Programming (course by @dabeaz)
yasinyuksel/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
yasinyuksel/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
yasinyuksel/sampleRNN_ICLR2017
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
yasinyuksel/SpecGAN
SpecGAN - generate audio with adversarial training
yasinyuksel/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
yasinyuksel/tensorflow
An Open Source Machine Learning Framework for Everyone
yasinyuksel/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
yasinyuksel/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
yasinyuksel/the-gan-zoo
A list of all named GANs!
yasinyuksel/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
yasinyuksel/turkce-yapay-zeka-kaynaklari
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
yasinyuksel/wavegan
WaveGAN: Learn to synthesize raw audio with generative adversarial networks
yasinyuksel/wavenet_vocoder
WaveNet vocoder