BirdCLEF 2021 - Birdcall Identification 4th place solution

Last update: Jan 02, 2023

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Deep Learning birdclef-2021

Overview

BirdCLEF 2021 - Birdcall Identification 4th place solution

My solution detail

kaggle discussion
Inference Notebook (best submission)

Environment

Use Kaggle Docker. Then install the missing packages according to the requiement.txt.

Usage

Prepare train_metadata.csv.
Execute all cells src/prepare_train_df.ipynb.
Execute in the order of src/stage1/train.sh, src/stage2/train.sh, src/finetune_30/train.sh.

License

MIT

Owner

tattaka

Deep Learner / like: Kaggle, Python, Nim, Conputer Vision, Robot, stm32, Fusion360, KiCad

GitHub Repository

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BirdCLEF 2021 - Birdcall Identification 4th place solution

Related tags

Overview

BirdCLEF 2021 - Birdcall Identification 4th place solution

My solution detail

Environment

Usage

License

Owner

tattaka

Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.

Logistic Bandit experiments. Official code for the paper "Jointly Efficient and Optimal Algorithms for Logistic Bandits".

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This repository contains the DendroMap implementation for scalable and interactive exploration of image datasets in machine learning.

Bald-to-Hairy Translation Using CycleGAN

GluonMM is a library of transformer models for computer vision and multi-modality research

Anonymize BLM Protest Images

SparseML is a libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)

The code for our paper Semi-Supervised Learning with Multi-Head Co-Training

Code for the Convolutional Vision Transformer (ConViT)

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision

Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)

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