BLINK-ONCE

BLINK-ONCE's Stars

• docker/awesome-compose

  Awesome Docker Compose samples

  Language:HTML34.9k6.7k

• katsura-jp/pytorch-cosine-annealing-with-warmup

  Language:Python43752

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.6k2.7k

• airtai/monotonic-nn

  Keras implementation of the constrained monotonic neural networks

  Language:Jupyter Notebook342

• wouterkool/attention-learn-to-route

  Attention based model for learning to solve different routing problems

  Language:Jupyter Notebook1.1k342

• elena-ecn/optuna-optimization-for-PyTorch-CNN

  Hyperparameter optimization study for a PyTorch CNN with Optuna.

  Language:Python161

• webstorms/Block

  Language:Jupyter Notebook81

• optuna/optuna-dashboard

  Real-time Web Dashboard for Optuna.

  Language:TypeScript52186

• ndb796/Deep-Learning-Paper-Review-and-Practice

  꼼꼼한 딥러닝 논문 리뷰와 코드 실습

  Language:Jupyter Notebook1.1k323

• Unity-Technologies/barracuda-release

  Language:C#56777

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.1k4.8k

• ZK-Zhou/spikformer

  ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

  Language:Python28143

• pywinauto/py_inspect

  Inspect.exe analoque for Windows with (Py3.5, pywinauto and PyQt) - this is officially supported fork

  Language:Python18873

• cwq159/PyTorch-Spiking-YOLOv3

  A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

  Language:Python20858

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.4k1.4k

• NeuroCompLab-psu/SNN-Conversion

  Language:Python364

• teddysum/korean_T2T_baseline

  Language:Python8

• sovrasov/flops-counter.pytorch

  Flops counter for convolutional networks in pytorch framework

  Language:Python2.8k307

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.2k6.9k

• sms821/pytorch_ANN_to_SNN

  A Pytorch-based library for the simulation of rate-encoded deep spiking neural networks.

  Language:Python61

• XDUSPONGE/SNN_benchmark

  24954

• fangwei123456/Spike-Element-Wise-ResNet

  Deep Residual Learning in Spiking Neural Networks

  Language:Python14720

• fangwei123456/spikingjelly

  SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

  Language:Python1.4k239

• fd873630/deep_speech_2_korean

  한국어 음성 인식을 위한 deep speech 2

  Language:Python2814

• wangxiao5791509/SNN_CV_Applications_Resources

  Paper list for SNN based computer vision tasks.

  11720

• dannyneil/spiking_relu_conversion

  Language:Matlab6930

• CBNU-AILAB/Cao2015

  Cao et al. Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition. 2015

  Language:Python31

• Kaggle/kaggle-api

  Official Kaggle API

  Language:Python6.2k1.1k

• yhhhli/SNN_Calibration

  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021

  Language:Python8213

• DingJianhao/ANN2SNN

  Language:Python18