oguzhangungordu

oguzhangungordu's Stars

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.6k11.4k

• ai4co/awesome-fm4co

  Recent research papers about Foundation Models for Combinatorial Optimization

  17413

• FeiLiu36/LLM4Opt

  A Collection on Large Language Models for Optimization

  17221

• OpenBMB/Eurus

  Language:Python29314

• philipturner/metal-flash-attention

  FlashAttention (Metal Port)

  Language:Swift40520

• gblackout/Reason-in-the-Wild

  Project repo of "Can LLMs Reason in the Wild with Programs?"

  Language:Python71

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1.4k

• vitaldb/examples

  Language:Jupyter Notebook3123

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.7k6.4k

• floriankark/cs224n-win2223

  Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

  Language:Python22164

• catiamcepeda/Respiration-Guide

  Respiratory signal processing

  2

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++9k1k

• shaily99/advice

  A repository of links with advice related to grad school applications, research, phd etc

  2.1k208

• mayankgrwl97/deep-unsupervised-learning-berkeley

  Deep Unsupervised Learning Course Tracking

  Language:Jupyter Notebook67

• samsledje/ConPLex

  Adapting protein language models and contrastive learning for highly-accurate drug-target interaction prediction.

  Language:Python12534

• ku-cosbi/ProInterVal

  Language:Python41

• alexandrosstergiou/Saliency-Tubes-Visual-Explanations-for-Spatio-Temporal-Convolutions

  [ICIP 2019] Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.

  Language:Python537

• cvpr-org/author-kit

  Language:TeX43574

• lukasschwab/arxiv.py

  Python wrapper for the arXiv API

  Language:Python1.2k125

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.4k4.3k

• SullyChen/SMoLK

  Sparse Mixture of Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation

  Language:Jupyter Notebook152

• shangjianshizhe/PPGSQI

  The PPG signals are preprocessed and transformed into 2D STFT spectra with 250 × 334 pixels. The STFT figures are as the input of the CNN networks, and the model gives the result as good or bad quality.

  Language:Jupyter Notebook6

• Aysan-Mahmoudzadeh/PPG_Quality_Signal_Assessment

  Data Collection, Pre-Processing, and Feature extraction

  Language:Python71

• markolalovic/ppg-signal-extraction

  Extraction of photoplethysmogram (PPG) signal from camera recording and assessment of PPG signal quality. Intended for the use in a non-invasive biomedical monitoring system.

  Language:Jupyter Notebook174

• OmarMuttawa/PPG_Signal_Quality_Evaluation_Tool

  Code Developed for my Masters Thesis titled: A real-time independent and inexpensive PPG signal quality classification tool for vital sign monitoring

  Language:Jupyter Notebook133

• HealthSciTech/ppg-sqa-ee

  Lightweight PPG Quality Assessment Unsupervised Anomaly Detection

  Language:Python42

• SCAI-Lab/VitalPy

  A Vital Signal Analysis Package

  Language:Python201

• RLado/STB-VMM

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

  Language:Python376

• eoinmurray/kronig-penney-exploration

  band structure of Kronig-Penney potential

  Language:Jupyter Notebook11

• shamim-hussain/kronig_penney

  Band diagrams of a simple 1D crystal obtained from Kronig-Penney model

  Language:Matlab74