hklee2040 Goto Github PK

60th-national-primary-and-high-school-science-fair-wind-turbine-design-with-openai

AI for Xfoil

64-bit-universal-floating-point-isa-compute-engine

RISC-V Rocket Chip Strap-on-Booster with Fused Universal Neural Network (FuNN) eNNgine

acuity-models

Acuity Model Zoo

adanet

Fast and flexible AutoML with learning guarantees.

aiia-dnn-benchmark

amc

[ECCV 2018] PyTorch implementation for AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

analyticalscaleforintegerquantization

Example for applying Gaussian and Laplace clipping on activations of CNN.

athena-signal

caffe

Caffe: a fast open framework for deep learning.

caffe-int8-convert-tools

This convert tools is base on TensorRT Int8 calibration tools,which use the KL algorithm to find the suitable threshold to quantize the activions from Float32 to Int8(-128 - 127).

caffe-yolov2-windows

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

cmsis_5

CMSIS Version 5 Development Repository

color_restorer

It is a python implementation for Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

convolution-flavors

Implementation of convolution layer in different flavors

cp-decomposition

darknet

Convolutional Neural Networks

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deepcompression-caffe

Caffe for Deep Compression

deepspeech

A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.

deepspeech2

End-to-end speech recognition using TensorFlow

dfq

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

doa

DOA

doc

Documentation for NVDLA.

embedded-neural-network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

gccphat

gemmlowp

Low-precision matrix multiplication