jason91's repositories
laika
Simple Python GNSS processing library
CTTC-GNSS-SDR
GNSS-SDR, an open source GNSS software defined receiver
Dive-into-DL-MXNet-Gluon
通过MXNet/Gluon来动手学习深度学习
exercise_machine_learning
练习：机器学习+Skrlearn工具包
gnsspy
Python Toolkit for GNSS Data
GNSS-SDR-Python
GNSS code generators, acquisition, and tracking based on Python
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
Multi_Sensor_Fusion
Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Ford-Autonomous-Vehicle-Seasonal-Dataset
Autonomous Vehicle Seasonal Dataset 福特公开提供自动驾驶数据集
TensorFlow2.0-DeepLearing-Book-LiangquLong
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
GNSS-SDRLIB
An Open Source GNSS Software Defined Radio Library
GAAS
Generalized Aviation: Open source autonomous aviation software platform, designed for fully autonomous drones and flying cars.
Google-StyleGuide-zh
Google 开源项目风格指南 (中文版)
electron-ssr
Shadowsocksr client using electron
pluto-gps-sim
PLUTO-GPS-SIM generates a GPS baseband signal IQ data stream, which is then transmitted by the software-defined radio (SDR) platform ADALM-Pluto.
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
GGRG-GPS-SDR
A repository for PyGNSS and CUDARecv -- open-source software defined GPS receivers developed by the Grace Gao Research Group.
gps-sdr-sim
Software-Defined GPS Signal Simulator
CS230_HAR_WISDM
repo for CS230 project
DeepSense
Deepsense: a unified deep learning framework for time-series mobile sensing data processing.
nut2nt
NUT2NT+ hardware and gateware sources
GPSTk
The goal of the GPSTk project is to provide an open source library and suite of applications to the satellite navigation community--to free researchers to focus on research, not lower level coding.
ogrp
OGRP - The Open Gnss Receiver Protocol
ogre
ogre: ['ogr] "OGRP Receiver"
PolyU-GNSS-INS-FactorGraph
PolyU: Sensor Fusion: filtering (eg.EKF) and smoothing (eg. factor graph)
Activity-Detection-using-IMU-sensor
User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be used for in depth activity monitoring and recommender systems.
gnss-intrinsics
GNSS Intrinsics for Software Correlators