Phrungck

Phrungck's Stars

• lukasz-madon/awesome-remote-job

  A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python

  29.5k1k543.5k

• remoteintech/remote-jobs

  A list of semi to fully remote-friendly companies (jobs) in tech.

  Language:JavaScript29.3k9221743.1k

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.1k1277481.2k

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4k14181k

• shankarpandala/lazypredict

  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  Language:Python2.9k30121333

• JonasGeiping/cramming

  Cramming the training of a (BERT-type) language model into limited compute.

  Language:Python1.3k2334100

• dongb5/GAN-Timeline

  A timeline showing the development of Generative Adversarial Networks (GAN).

  38940173

• letspython3x/Books

  This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.

  282141101

• rogerorr/NtTrace

  An strace-like program for the Windows 'native' API

  Language:C++195151043

• lucidrains/rectified-flow-pytorch

  Implementation of rectified flow and some of its followup research / improvements in Pytorch

  Language:Python1611032

• dtrizna/nebula

  Transformer Neural Network from Dynamic Malware Detection

  Language:Jupyter Notebook25202

• MeteoSwiss/c4dl-lightningdl

  Code for paper "Multi-source seamless lightning nowcasting with recurrent deep learning"

  Language:Python9544

• Phrungck/myocardial-segmentation

  Use of segmentation models to extract the epicardium in low-quality echocardiograms. Dataset used: https://www.kaggle.com/datasets/aysendegerli/hmcqu-dataset

  Language:Jupyter Notebook2200

• Phrungck/reinforcement-learning-models

  Simple implementation and comparison of three reinforcement learning models.

  Language:Jupyter Notebook2100

• Phrungck/cnn-models

  Implementation of various convolutional neural networks used in image classification, action recognition, etc.

  Language:Python1200

• Phrungck/epipolar-geometry

  Simple task of implementing epipolar geomtry using OpenCV and Python

  Language:Python1200

• Phrungck/generative-models

  Implementations of various generative models.

  Language:Jupyter Notebook1200

• Phrungck/phrungck.github.io

  33rd BMVC accepted paper

  Language:HTML110

• Phrungck/RecycleML

  This contains several modules and models applied in different machine learning and deep learning domains.

  Language:Jupyter Notebook10

• Phrungck/research

  List of my published/preprint research.

  110

• Phrungck/segmentation-models

  Implementation of different segmentation models (e.g. unet)

  Language:Python10

• Phrungck/Two-View-Segmentation-EF-Estimation

  Official implementation of the paper: "Two-View Left Ventricular Segmentation and Ejection Fraction Estimation in 2D Echocardiograms".

  Language:Python1100