collector-m Goto Github PK

polysync-core-c-examples

Example C Applications using PolySync Core APIs

polysync-core-cpp-examples

Example CPP Applications using PolySync Core APIs

poor-mans-deep-learning-camera

Build a thin client deep learning camera with the Raspberry Pi, Flask, and YOLO

pose-estimation

3D Pose Estimation based on point clouds

poseestimationformobile

:dancer: Real-time single person pose estimation for Android and iOS.

pot

POT : Python Optimal Transport

powervim

Make your vim more power and much easer.

ppgn

Code for paper "Plug and Play Generative Networks"

ppo_pytorch_cpp

pptk

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

pra-net

The source code of PRA-Net.

practical-machine-learning-with-python

Machine Learning Tutorials in Python

practical-python

Practical Python Programming (course by @dabeaz)

practical-reinforcement-learning

Practical​ Reinforcement Learning, published by Packt

practical_rl

A course in reinforcement learning in the wild

practicalai

A practical approach to learning machine learning.

preciseroipooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

precision-tracking

Repository for precision tracking from 3D point clouds

precog_carla_dataset

Small example for loading the CARLA data from the PRECOG paper

predictivebenchmarking

prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

prettyplotlib

Painlessly create beautiful matplotlib plots.

previm

Realtime preview by Vim. (Markdown, reStructuredText, textile)

primitivenet

PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)

prml

PRML algorithms implemented in Python

probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

probabilisticrobotics

Test of different SLAM algorithms in Probabilistic Robotics

probability

Probabilistic reasoning and statistical analysis in TensorFlow

probablistic_3d_mot_waymo

https://github.com/droneRL2020/Waymo_tracking.git applied this method to Waymo 3D Tracking dataset