Pavel Konovalov's repositories
Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
DeepStack-Leduc
Example implementation of the DeepStack algorithm for no-limit Leduc poker
deepview
An implementation of Google's Deepview paper https://augmentedperception.github.io/deepview/
enhancing-transformers
An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch
FaceQnet
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
Labelbox
Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications.
models
Models and examples built with TensorFlow
ngp_pl
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
openpoints
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
parti-pytorch
Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
PointNeXt
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
svhn
Street View House Numbers Solution
Windows-driver-samples
This repo contains driver samples prepared for use with Microsoft Visual Studio and the Windows Driver Kit (WDK). It contains both Universal Windows Driver and desktop-only driver samples.