Over9000 optimizer

Last update: Nov 27, 2022

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Overview

Optimizers and tests

Every result is avg of 20 runs.

Dataset	LR Schedule	Imagenette size 128, 5 epoch	Imagewoof size 128, 5 epoch
Adam - baseline	OneCycle	0.8493	0.6125
RangerLars (RAdam + LARS + Lookahead)	Flat and anneal	0.8732	0.6523
Ralamb (RAdam + LARS)	Flat and anneal	0.8675	0.6367
Ranger (RAdam + Lookahead)	Flat and anneal	0.8594	0.5946
Novograd	Flat and anneal	0.8711	0.6126
Radam	Flat and anneal	0.8444	0.537
Lookahead	OneCycle	0.8578	0.6106
Lamb	OneCycle	0.8400	0.5597
DiffGrad	OneCycle	0.8527	0.5912
AdaMod	OneCycle	0.8473	0.6132

Owner

Mikhail Grankin

GitHub Repository

Flexible-Modal Face Anti-Spoofing: A Benchmark

Flexible-Modal FAS This is the official repository of "Flexible-Modal Face Anti-

22 Nov 10, 2022

PyTorch code for our paper "Gated Multiple Feedback Network for Image Super-Resolution" (BMVC2019)

Gated Multiple Feedback Network for Image Super-Resolution This repository contains the PyTorch implementation for the proposed GMFN [arXiv]. The fram

66 Nov 03, 2022

Official implementation of "One-Shot Voice Conversion with Weight Adaptive Instance Normalization".

One-Shot Voice Conversion with Weight Adaptive Instance Normalization By Shengjie Huang, Yanyan Xu*, Dengfeng Ke*, Mingjie Chen, Thomas Hain. This rep

31 Dec 07, 2022

2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案

2020CCF-NER 2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案 bert base + flat + crf + fgm + swa + pu learning策略 + clue数据集 = test1单模0.906 词向量

67 Oct 19, 2022

Faune proche - Retrieval of Faune-France data near a google maps location

faune_proche Récupération des données de Faune-France près d'un lieu google maps

4 Feb 15, 2022

95.47% on CIFAR10 with PyTorch

Train CIFAR10 with PyTorch I'm playing with PyTorch on the CIFAR10 dataset. Prerequisites Python 3.6+ PyTorch 1.0+ Training # Start training with: py

5k Dec 30, 2022

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

IP-IRM [NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature". Codes will be relea

67 Dec 24, 2022

Collection of TensorFlow2 implementations of Generative Adversarial Network varieties presented in research papers.

TensorFlow2-GAN Collection of tf2.0 implementations of Generative Adversarial Network varieties presented in research papers. Model architectures will

41 Apr 28, 2022

A library for uncertainty quantification based on PyTorch

Torchuq [logo here] TorchUQ is an extensive library for uncertainty quantification (UQ) based on pytorch. TorchUQ currently supports 10 representation

96 Dec 12, 2022

Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Deep Learning for image classification pip install -r http://webia.lip6.fr/~baskiotisn/requirements-amal.txt Train an autoencoder python3 train_auto

0 Mar 30, 2022

DIT is a DTLS MitM proxy implemented in Python 3. It can intercept, manipulate and suppress datagrams between two DTLS endpoints and supports psk-based and certificate-based authentication schemes (RSA + ECC).

DIT - DTLS Interception Tool DIT is a MitM proxy tool to intercept DTLS traffic. It can intercept, manipulate and/or suppress DTLS datagrams between t

52 Nov 30, 2022

Over9000 optimizer

Related tags

Overview

Optimizers and tests

Owner

Mikhail Grankin

Flexible-Modal Face Anti-Spoofing: A Benchmark

PyTorch code for our paper "Gated Multiple Feedback Network for Image Super-Resolution" (BMVC2019)

Official implementation of "One-Shot Voice Conversion with Weight Adaptive Instance Normalization".

2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案

Faune proche - Retrieval of Faune-France data near a google maps location

95.47% on CIFAR10 with PyTorch

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

Collection of TensorFlow2 implementations of Generative Adversarial Network varieties presented in research papers.

A library for uncertainty quantification based on PyTorch

Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

PyTorch GPU implementation of the ES-RNN model for time series forecasting

Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis

Repository providing a wide range of self-supervised pretrained models for computer vision tasks.

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

EMNLP 2020 - Summarizing Text on Any Aspects

Implementing yolov4 target detection and tracking based on nao robot

Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers

The code for our paper CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention.

End-to-End Speech Processing Toolkit

DIT is a DTLS MitM proxy implemented in Python 3. It can intercept, manipulate and suppress datagrams between two DTLS endpoints and supports psk-based and certificate-based authentication schemes (RSA + ECC).