kimanki Goto Github PK

clip

Contrastive Language-Image Pretraining

csi

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dnn-sim

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

kornia

Open Source Differentiable Computer Vision Library

mist_vad

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-classification

Classification with PyTorch.

resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

usad

vision

Datasets, Transforms and Models specific to Computer Vision

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch