klonggan,github

pbrt-v3

Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.

pcl

Point Cloud Library (PCL)

pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

physionet-challenge-2020

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

pilco

Bayesian Reinforcement Learning in Tensorflow

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

poet

ML model training for edge devices

polyaxon

A platform for reproducible and scalable machine learning and deep learning on kubernetes

prml

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

prompt-engineering-guide

:octopus: Guides, papers, lecture, and resources for prompt engineering

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pychatgpt

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

pyflow

Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow

pyimsegm

Image segmentation - general superpixel segmentation & center detection & region growing

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

pyro

Deep universal probabilistic programming with Python and PyTorch

pysyft

A library for answering questions using data you cannot see

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more