dasolhwang Goto Github PK

airflow

Apache Airflow

asl-translator

American Sign Language Translator using OpenCV and Machine Learning.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

canonical-capsules

colab

colab check

compare_bnn_with_nn

cs231n_17_kor_sub

CS231N 2017 video subtitles translation project for Korean Computer Science students

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

cyclegan-qp

Official implementation of "Artist Style Transfer Via Quadratic Potential"

dasolhwang.github.io

Github Blog

deep-learning-practice

deep learning code

google-research

Google Research

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

gt-deep-learning-for-sign-language-recognition

Learning Hand Features for Sign Language Recognition (GATech Course Project: Deep Learning for Perception CS8803-DL, Spring 2015)

haafor-ner

haafor NER

hand-gesture-clf

image-captioning

Simple and Easy to use Image Captioning Implementation

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

kaggle-study

[Fri] kaggle_study

kaggle_santander_product_recommendation

14th place in Kaggle / Santander Product Recommendation

kddcup

KDD cup of Fresh Air

kgnn-ls

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

models

Models and examples built with TensorFlow

multi-gpu

nlp

natural language processing

opendatawrangling

공공데이터 분석

pointwolf

Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021