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GreedyIsGood's Projects

in-prestissimo icon in-prestissimo

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532

inq-pytorch icon inq-pytorch

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

irt-em icon irt-em

estimate 2PLM IRT by EM algorithm

jalinopt icon jalinopt

Jalinopt is a Java toolkit for building and solving linear programs. It consists of a straightforward object-oriented model for linear programs, as well as a bridge to most common solvers, including GLPK and CPLEX.

jetson-inference icon jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1.

kaldi-dnn-ali-gop icon kaldi-dnn-ali-gop

Forced alignment and Goodness of Pronunciation (GOP) with DNN support. Bases on Kaldi.

kaldi-lstm icon kaldi-lstm

C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.

lab icon lab

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

laia icon laia

Laia: A deep learning toolkit for HTR based on Torch

libdnn icon libdnn

Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL

libfacedetection icon libfacedetection

A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.

libgdl icon libgdl

一个移动端跨平台的gpu+cpu并行计算的cnn框架(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)

lich icon lich

Lich is a mini framework for building neural networks inspired by caffe.

light-field-video icon light-field-video

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

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