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palm-pytorch

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

pama

parti-pytorch

Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch

patchgame

PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021

patchgan

Image Decomposition in GAN network(Reference:Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images, CVPR2020)

patchmatch-pytorch

Patch Match implemented in Pytorch

patchvae

PyTorch implementation of "PatchVAE: Learning Local Latent Codes for Recognition" to appear in CVPR 2020

pedestron

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

pi-gan

pifuhd

High-Resolution 3D Human Digitization from A Single Image.

pix2rule

From pixels to symbolic rule learning

point-transformer

This is an unofficial implementation of the Point Transformer paper.

point2cad

Code for "Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds"

poolformer

PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

pooling-windows

Pytorch implementation of Pooling Windows like those used in Freeman and Simoncelli, 2011

possible-stories

projected_gan

[NeurIPS'21] Projected GANs Converge Faster

projectedgan-pytorch

Pytorch implementation of ProjectedGAN (https://arxiv.org/abs/2111.01007)

property_learner_predictor

prospect

Official implementation of the paper "ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation"

pyesn

Echo State Networks in Python

pyomt

A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm

pytorch-classification

Classification with PyTorch.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-rbm

Restricted Boltzmann Machines (RBMs) in PyTorch

pytsetlinmachineparallel

Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

rcesn_spatio_temporal

Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN

re2

OCaml bindings for RE2