deep-learning

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

Python temellerinden Reinforcement Learning'e kadar uzanan, 22 modüllük uçtan uca Veri Bilimi & Makine Öğrenmesi yol haritası. Her konuda çalıştırılmış notebook'lar ve PDF tekrar soruları.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch

My own attempt at a long context genomics model, leveraging recent advances in long context attention modeling (Flash Attention + other hierarchical methods)

Transformers are Graph Neural Networks!

Implementation of Multistream Transformers in Pytorch

An introduction to basic concepts of Transformers and key techniques of their recent advances.

Implementation of Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer in PyTorch.

Flexible Python library providing building blocks (layers) for reproducible Transformers research (Tensorflow ✅, Pytorch 🔜, and Jax 🔜)

Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount of time on any token

:dart: Gradient Accumulation for TensorFlow 2

:hugs: AeroPath: An airway segmentation benchmark dataset with challenging pathology

Speaker identification powered by pyannote and resemblyzer

VSCode coding companion for software teams 🦆 Turn your team insights into a portable plug-and-play context for code generation. Alternative to GitHub Copilot & OpenAI GPT powered by OSS LLMs (Phi 3, Llama 3, CodeQwen, Mistral, etc.), made with ❤️ using FastAPI & Ollama.

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

AI Image Generator is a powerful and user-friendly desktop application designed to help creators produce stunning, high-quality artwork, photorealistic renders, and creative concepts quickly and easily.

STB-VMM: Swin Transformer Based Video Motion Magnification (official repository)

Explore the complete Deep Learning MasterClass in TensorFlow and PyTorch, covering neural networks, GANs, Transformers, VAEs, and more. Your go-to resource for mastering cutting-edge techniques.