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Roman Solovyev

Elite
@ZFTurbo

Weighted-Boxes-Fusion. Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

1.8k

Music-Source-Separation-Training. Repository for training models for music source separation.

1.5k

MVSEP-MDX23-music-separation-model. Model for MDX23 music separation contest

852

Verilog-Generator-of-Neural-Net-Digit-Detector-for-FPGA. Verilog Generator of Neural Net Digit Detector for FPGA

313

Keras-RetinaNet-for-Open-Images-Challenge-2018. Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

269

volumentations. Library for 3D augmentations

261

ZF_UNET_224_Pretrained_Model. Modification of convolutional neural net "UNET" for image segmentation in Keras framework

217

classification_models_3D. Set of models for classifcation of 3D volumes

191

MobileNet-in-FPGA. Generator of verilog description for FPGA MobileNet implementation

188

Keras-inference-time-optimizer. Optimize layers structure of Keras model to reduce computation time

157

segmentation_models_3D. Set of models for segmentation of 3D volumes

135

Mean-Average-Precision-for-Boxes. Function to calculate mAP for set of detected boxes and annotated boxes.

133

KAGGLE_DISTRACTED_DRIVER. Solutions

91

timm_3d. PyTorch Volume Models for 3D data

84

segmentation_models_pytorch_3d. Segmentation models for 3D data with different backbones. PyTorch.

76

Kaggle-Planet-Understanding-the-Amazon-from-Space. 3rd place solution

63

MVSEP-CDX23-Cinematic-Sound-Demixing. Model for CDX23 (Cinematic Sound Demixing) contest

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Keras-Mask-RCNN-for-Open-Images-2019-Instance-Segmentation. Code and pre-trained models for Instance Segmentation track in Open Images Dataset

57

efficientnet_3D. EfficientNets in 3D variant for keras and TF.keras

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VGG16-Pretrained-C. Pretrained VGG16 neural net in C language

50

Keras-augmentation-layer. Keras implementation of layer which performs augmentations of images using GPU.

49

2nd-place-solution-for-VinBigData-Chest-X-ray-Abnormalities-Detection. Localization of thoracic abnormalities model based on VinBigData (top 1%)

44

MVSep-API-Examples. Examples of how to use API of MVSep service

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KAGGLE_CERVICAL_CANCER_2017. Python

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classification_models_1D. Classification models 1D Zoo - Keras and TF.Keras

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DrivenData-Alzheimer-Research-1st-place-solution. 1st place solution for Clog Loss: Advance Alzheimer’s Research with Stall Catchers

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MSS_ONNX_TensorRT. Python

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DrivenData-Identify-Fish-Challenge-2nd-Place-Solution. Solution for N+1 fish, N+2 fish DrivenData competition (2nd place)

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AlphaDent. Repository for AlphaDent dataset

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VOTS2023-Challenge-Tracker. Code for VOTS2023 Challenge tracker

10

Covid-19-spread-prediction. Automatic short-term covid-19 spread prediction by countries and Russian regions

10

DrivenData-Open-AI-Caribbean-Challenge-2nd-place-solution. Code for DrivenData Open AI Caribbean Challenge. 2nd place solution.

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DrivenData-Pri-matrix-Factorization-2nd-Place-Solution. DrivenData Pri-matrix Factorization (2nd place solution)

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KAGGLE_AVITO_2016. Avito Duplicate Ads Detection

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MobileNet-v1-Pytorch. MobileNet v1 in Pytorch. Weights converted from Keras implementation

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Post-Training-Integer-Quantization. Some examples of quantization process

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demucs3. Fork of demucs repository

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Audio-separation-models-checker. Python

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KAGGLE_YELP. Solutions

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albumentations. fast image augmentation library and easy to use wrapper around other libraries

3

audiomentations. A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

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Zero_Shot_Audio_Source_Separation. The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022

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ai-audio-startups. Community list of startups working with AI in audio and music technology

2

DTTNet-Pytorch. Dual-Path TFC-TDF UNet for Music Source Separation

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go-spice. go-spice is a program written in Go, designed to calculate the static (DC) IR-drop of integrated circuits.

1

pytorch-image-models. PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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