SHikumo

3D_detection

AdasOptimizer

ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance

Aerial-Robotics-Coursera

This is the first course in Robotics Specialization offered by University of Pennsylvania on Coursera.

AI-for-Trading

Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to trading signal generation.

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

android-arduino-fullcolorled

Android + Arduino test program (Full color LED controls)

ardupilot

ArduPlane, ArduCopter, ArduRover source

AutoCad-.NET-Training

SHikumo/AutoCad-.NET-Training

SHikumo/3D_detection

SHikumo/AdasOptimizer

ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance

SHikumo/AI-for-Trading

Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to trading signal generation.

SHikumo/aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

SHikumo/ardupilot

ArduPlane, ArduCopter, ArduRover source

SHikumo/bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

SHikumo/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

SHikumo/deepschool.io

Deep Learning tutorials in jupyter notebooks.

SHikumo/drone_cnn

python cnn files for drone obstacles avoidance

SHikumo/DroNet

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

SHikumo/DroNet_PyTorch

Inference of DroNet on PyTorch

SHikumo/Firmware

PX4 Pro Autopilot Software

SHikumo/flyingcar

Flying Car Nanodegree

SHikumo/gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

SHikumo/IntermediateCProgramming

SHikumo/librealsense

Intel® RealSense™ SDK

SHikumo/logic-node-editor

Simple Node Editor is just that. Very basic minimal code for implementing a node graph or editor using PySide2. All nodes are built from using QGraphicsItems.

SHikumo/mambo_driver

ROS driver wrapper for Parrot Mambo drone using pyparrot

SHikumo/mmdetection

Open MMLab Detection Toolbox

SHikumo/py-image-dataset-generator

Get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation.

SHikumo/pyparrot

Python interface for Parrot Drones

SHikumo/python-pubsub

SHikumo/PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

SHikumo/quadcopter-simulation

SHikumo/rpg_public_dronet

Code for the paper Dronet: Learning to Fly by Driving

SHikumo/Self-Driving-Car-Tutorial

Autonomous Driving 3D Simulation with Genetic Algorithm and Neural Networks

SHikumo/STM32CubeF7

STM32Cube MCU Full Package for the STM32F7 series - (HAL + LL Drivers, CMSIS Core, CMSIS Device, MW libraries plus a set of Projects running on all boards provided by ST (Nucleo, Evaluation and Discovery Kits))

SHikumo/tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

SHikumo/yolov3-network-slimming

yolov3 network slimming剪枝的一种实现