Bu repository çeşitli AI modellerinin implementasyonlarını içerir. Makalelere buradan ulaşabilirsiniz:

• LeNet - GradientBased Learning Applied to Document Recognition

  [http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf]

• AlexNet - ImageNet Classification with Deep Convolutional Neural Networks

  [https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf]

• VGGNet - Very Deep Convolutional Networks For Large-Scale Image Recognition

  [https://arxiv.org/pdf/1409.1556]

• MobileNet - MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

  [https://arxiv.org/pdf/1704.04861]

• InceptionNet - Going Deeper with Convolutions

  [https://arxiv.org/pdf/1409.4842]

• NST - A Neural Algorithm of Artistic Style

  [https://arxiv.org/pdf/1508.06576]

• ResNet - Deep Residual Learning for Image Recognition

  [https://arxiv.org/pdf/1512.03385]

• EfficientNet - EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

  [https://arxiv.org/pdf/1905.11946]

• GAN - Generative Adversarial Networks

  [https://arxiv.org/pdf/1406.2661]

• DCGAN - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

  [https://arxiv.org/pdf/1511.06434]

• SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

  [https://arxiv.org/pdf/1609.04802]

• ESRGAN - ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

  [https://arxiv.org/pdf/1809.00219]

• Transformer - Attention is All You Need

  [https://arxiv.org/abs/1706.03762]

• GPT2

[https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf]

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

[https://arxiv.org/pdf/1810.04805]

• Llama 2: Open Foundation and Fine-Tuned Chat Models

[https://arxiv.org/pdf/2307.09288]

• The Llama 3 Herd of Models

[https://arxiv.org/pdf/2407.21783]

• Qwen3 Technical Report

[https://arxiv.org/pdf/2505.09388]

• Gemma 3 Technical Report

[https://arxiv.org/pdf/2503.19786]

• DeepSeek-V3 Technical Report

[https://arxiv.org/pdf/2412.19437]

• Sigmoid Loss for Language Image Pre-Training

[https://arxiv.org/pdf/2303.15343]

Görüntü İşleme kısmı için tavsiye edilen okuma sırası:

LeNet -> AlexNet -> VGGNet -> MobileNet -> InceptionNet -> ResNet -> EfficientNet -> GAN ->DCGAN -> SRGAN -> ESRGAN

Büyük Dil Modelleri için tavsiye edilen okuma sırası:

Transformers -> GPT2 -> BERT -> LLaMA2 -> LLaMA3 -> Qwen3 -> Gemma3 -> Deepseek

Çoklu Modeller için tavsiye edilen okuma sırası:

SigLIP

NOT: Büyük Dil Modelleri klasöründeki bazı dosyaları Preview kısmında Invalid gösterebilir. Dosyaları indirdiğinizde notebookları görüntüleyebilirsiniz.