Watch Cheng_Loon/jetson-packages-family-good

The ultimate software installation guide for Nvidia Jetson Nano/Xavier Dev Kit

Watch Cheng_Loon/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Watch Cheng_Loon/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Watch Cheng_Loon/VizWiz-Quality

Watch Cheng_Loon/FaceImageQuality

Code and information for face image quality assessment with SER-FIQ

Watch Cheng_Loon/network-slimming

Network Slimming (Pytorch) (ICCV 2017)

Watch Cheng_Loon/Awesome-Pruning-paper

A curated list of neural network pruning resources.

Watch Cheng_Loon/PaddleSlim

PaddleSlim is an open-source library for deep model compression and architecture search.

Watch Cheng_Loon/model_compression02

Implementation of model compression with knowledge distilling method.

Watch Cheng_Loon/model-compression01

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)