CHUUUU

CHUUUU's Stars

• neuralchen/SimSwap

  An arbitrary face-swapping framework on images and videos with one single trained model!

  Language:Python4.6k903

• 3d-morphable-models/curated-list-of-awesome-3D-Morphable-Model-software-and-data

  The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

  907109

• zhangzjn/APB2FaceV2

  An improved version of APB2Face: Real-Time Audio-Guided Multi-Face Reenactment

  Language:Python8213

• sacmehta/delight

  DeLighT: Very Deep and Light-Weight Transformers

  Language:Python46753

• Mombin/Bug_Report

  explain bug in code. and how to fix bug.

  1

• paul-hyun/tf_transformers

  Tensorflow 2.0 Transoformer, gpt, bert, 기타 등등

  Language:Jupyter Notebook114

• Mombin/DeepLearning_Study

  Language:Python1

• Mombin/Mom_Net

  Language:Python1

• Mombin/Talking-Face-Landmarks-from-Speech

  Generating Talking Face Landmarks from Speech

  2

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k27.3k

• YatingMusic/remi

  "Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020

  Language:Python56086

• Rick-McCoy/Reformer-pytorch

  Implements Reformer: The Efficient Transformer in pytorch.

  Language:Python848

• ModuNLP/weekly-meeting

  매주 목요일, 20:00 모임

  161

• CHUUUU/nlp

  Implement NLP papers

  Language:Python41

• paul-hyun/transformer-evolution

  Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.

  Language:Jupyter Notebook12658

• hyunwoongko/kochat

  Opensource Korean chatbot framework

  Language:Python455184

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k4.1k

• sujit-deokar/Signal-to-Noise-ratio-SNR-

  In order to demonstrate any signal accurately it is important to know the noise containt in the signal. Thus, a fundamental measure is the ratio system which in this case is SNR.

  Language:Python12

• modulabs/RubatoLab

  Language:Jupyter Notebook91

• gyunggyung/National-Petition

  청와대 국민청원 분석으로 국민의 생각 알아보기 📈🔬

  Language:Jupyter Notebook4616

• augmentedstartups/yolov3workflow

  This workflow aims to make it easy to train and execute Yolo v3 object detection on Windows.

  Language:Python116102