Pinned Repositories
AIDE-HotMobile19
Android Demo App Code for AIDE
brevitas
Brevitas: quantization-aware training in PyTorch
dtc-acoustic-spectrumer
display spectrum of ambient sounds
dtc-Complex-YOLO-Keras
Complex-YOLO implementation in Keras
dtc-doppler-illustrator
Illustrating Doppler effect using sounds.
dtc-frequency-player
Emitting sounds of user-specified frequencies
dtc-google-scholar-helper
Google Scholar Helper
dtc-KITTI-For-Beginners
Brief explanations about KITTI dataset
dtc-pointpillars-keras
dtc-raspberry-bare-metal
Raspberry Pi bare metal
dtczhl's Repositories
dtczhl/dtc-KITTI-For-Beginners
Brief explanations about KITTI dataset
dtczhl/dtc-doppler-illustrator
Illustrating Doppler effect using sounds.
dtczhl/dtc-pointpillars-keras
dtczhl/dtc-frequency-player
Emitting sounds of user-specified frequencies
dtczhl/dtc-google-scholar-helper
Google Scholar Helper
dtczhl/dtc-raspberry-bare-metal
Raspberry Pi bare metal
dtczhl/dtc-Complex-YOLO-Keras
Complex-YOLO implementation in Keras
dtczhl/dtc-acoustic-spectrumer
display spectrum of ambient sounds
dtczhl/AIDE-HotMobile19
Android Demo App Code for AIDE
dtczhl/brevitas
Brevitas: quantization-aware training in PyTorch
dtczhl/dtc-android-ble
Simple Android BLE apps
dtczhl/dtc-ble-led
Android for MagicLight BLE light bulbs
dtczhl/dtc-frustum-pointnets
dtczhl/dtc-frustumpointnets_keras
dtczhl/dtc-lede-multipath
Experimenting multi-path on LEDE (deprecated)
dtczhl/dtc-mobile-ml-notes
dtczhl/dtc-openwrt
Customized OpenWrt system
dtczhl/dtc-show-ip
Provide interface to my website to show your IP. Useful for embedded devices without monitors
dtczhl/dtc-voxelnet
This is an unofficial inplementation of VoxelNet in TensorFlow.
dtczhl/dtc-VoxelNet-Keras
VoxelNet implementation in Keras
dtczhl/dtc-web-audio-frequency
Web play frequency
dtczhl/FedTuning
Source code for FedTuning
dtczhl/gitignore
A collection of useful .gitignore templates
dtczhl/Improving-Data-Efficiency-Using-Active-Learning-and-Semi-Supervised-Learning
dtczhl/pcl-for-android
dtczhl/PM-Server
Notes
dtczhl/Reduce_Labeled_Samples
Methods for using as few human-labeled samples as possible, while training good machine learning models
dtczhl/Slimmer