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libevent

Nick's public libevent repository. The official repository is at git://levent.git.sourceforge.net/gitroot/levent/libevent

libfixmatrix

C library for fixed point matrix, quaternion and vector calculations

lime

Open source API-compatible alternative to the text editor Sublime Text

linux

Linux kernel source tree

list_of_recommender_systems

A List of Recommender Systems and Resources

loss-aware-binarization

Implementation of paper "Loss-aware Binarization of Deep Networks"

loss-aware-weight-quantization

Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"

loss-functions

My own understanding on various kinds of Loss Function

losslessh264

Open Source H.264 Codec

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

lstm_pit_speech_separation

Multi-speaker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

lstm_speaker_verification

lua

Unofficial git history of Lua releases

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

make-a-smart-speaker

A collection of resources to make a smart speaker

mandel-simd

Mandelbrot set in SIMD (SSE, AVX)

manyears

ManyEars Sound Source Localization, Tracking and Separation

matlab

memcached

memcached development tree

mfixedpoint

MFixedPoint is a header-only fixed-point C++ library suitable for fast arithmetic operations on systems which don't have a FPU (e.g. embedded systems).. Suitable for performing computationally intensive operations on a computing platform that does not have a floating-point unit (like most smaller embedded systems, such as Cortex-M3, CortexM0, ATmega, PSoC 5, PSoC 5 LP, PSoC 4, Arduino platforms e.t.c). Common applications include BLDC motor control and image processing. Best performance on a 32-bit or higher architecture (although 8-bit architectures should still be fine).

model-compression

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)

model-compression-papers

Papers for deep neural network compression and acceleration

model_compression

Implementation of model compression with knowledge distilling method.

models

Models and examples built with TensorFlow

movie_recommend

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

mtcnn

Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.

multi-channel-speech-extraction-using-dnn

A tensorflow implementation of my paper Combining beamforming and deep neural networks for multi-channel speech extraction

multi-hotword_spotting

Won't it be cool to build a speech assistant like Alexa or Siri yourself without voice API and network connection?

music_recommender

Music recommender using deep learning with Keras and TensorFlow

my-git

个人学习git的资料整理，持续更新……