Pinned Repositories
C-exp1
dust
mask_rcnn_tf2.x
Newthings
Newthings_Dim3
textcnn-for-colab
tobigs
torch_ignite_example
Voice_Converter_CycleGAN
Voice Converter Using CycleGAN and Non-Parallel Data
work
serereuk's Repositories
serereuk/Voice_Converter_CycleGAN
Voice Converter Using CycleGAN and Non-Parallel Data
serereuk/mask_rcnn_tf2.x
serereuk/torch_ignite_example
serereuk/Database-term-project-2019-
serereuk/Information_retrieval
serereuk/Paper_Review
serereuk/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
serereuk/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
serereuk/11th_Project
serereuk/awesome-anomaly-detection
A curated list of awesome anomaly detection resources
serereuk/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
serereuk/data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
serereuk/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
serereuk/deep-learning-project-template
Pytorch Lightning code guideline for conferences
serereuk/docker-python
Kaggle Python docker image
serereuk/FastCampus
Subset of FastCampus Lecture Code (Data Analysis A to Z)
serereuk/Learning-Texture-Invariant-Representation
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020
serereuk/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
serereuk/MLflow_tutorial
serereuk/pba
Efficient Learning of Augmentation Policy Schedules
serereuk/PS-KD-Pytorch
Official PyTorch implementation of PS-KD
serereuk/python_advanced
serereuk/RA_code
serereuk/relu_networks_overconfident
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]
serereuk/Sculpture-GAN
3D-DCGAN trained on a corpus of 3D printable objects - as a result, the generations are usually 3D printable
serereuk/serereuk.github.io
💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.
serereuk/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
serereuk/Tobigo_renewal
New version for Tobigo
serereuk/transformer
serereuk/UniTrack
Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).