westamine Goto Github PK

paper-collection

A track of papers I read and papers I collect to read in future

papers

Summaries of machine learning papers

papers-i-read

A-Paper-A-Week

paper_implementation

Implementation of various generative deep model using tensorflow

part-based-rcnn

Codes and pretrained model for ECCV 14 paper 'Part based RCNNs for fine-grained category detection'

partkeepr

PartKeepr

pc-autoencoder

Code for optimal binary autoencoding, using pairwise correlations between encoded and decoded bits.

pearl-backend

PEARL (Planetary Computer Land Cover Mapping) Platform API and Infrastructure

pearl-frontend

PEARL (Planetary Computer Land Cover Mapping) Frontend

peartree

peartree: A library for converting transit data into a directed graph for sketch network analysis.

pfenet

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

pix2pix

Image-to-image translation with conditional adversarial nets

pix2pix-denoising-and-super-resolution

Study and Try Pix2Pix (cGAN Loss, L1 Loss, Unet, Patch GAN, PSNR) with KITTI dataset for Denoising and Super-Resolution

pkrf

Philip Kraaijenbrink's R Functions

plotneuralnet

Latex code for making neural networks diagrams

polsarformer

This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.

pp-vehicle-onnxrun-cpp-py

pp-vehicle ++

practical-machine-learning

pretalx

Conference planning tool: CfP, scheduling, speaker management

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

programming-for-data-analysis-2019

programming-for-data-analysis-project-2019

Programming for Data Analysis Project 2019

project-2019

Program and Scripting Project 2019 Fisher's Iris Data

project-vq-vae-images

PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

psco

Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)

psgan

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pycls

Codebase for Image Classification Research, written in PyTorch.

pycluster

Python Clustering

pycuda-gaussian-processes

Machine learning using Gaussian Processes on the GPU, implemented in CUDA and wrapped in Python