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cs224n-notes-and-codes

My notes and codes for Stanford CS224n

csip

CSipSimple 是个款通用的支持SIP协议的互联网电话软件，可以在支持andriod的平板，手机上使用。支持语音编码: G.711 aLaw/uLaw, G.722.1, G.722, SPEEX, SPEEX-WB, AMR-WB, GSM, iLBC, G.729. 支持STUN, Outbound proxy server, Qos，VAD，AEC，AGC，CNG等众多功能和标准。

cssag

An implementaion of a Multi-Label Classification algorithm on Tree- and DAG-Structured Hierarchies

ctranslate

OpenNMT C++ translator

cucco

Python library for text normalization

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cuda-gmm-multigpu

CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single node.

cudadtw

GPU-Suite

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

cudatree

Building random forests on GPU

cunvsm

Neural Vector Space Models

cupy

NumPy-like API accelerated with CUDA

curfil

CUDA Random Forest implementation for Image Labeling tasks

cvpr-2017-abstracts-collection

Collection of CVPR 2017, including titles, links, authors, abstracts and my own comments

cvpr17

CVPR 2017 Tutorial

cvpr2019-code

CVPR 2019 Paper with Code

cvpr2020-code

CVPR 2020 论文开源项目合集

cvpr20_clvision_challenge

1'st Place approach for CVPR 2020 Continual Learning Challenge

cvxpy

A Python-embedded modeling language for convex optimization problems.

cwe

cws

For an ACL2016 paper

cxxnet

fast, concise, distributed deep learning framework

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

cyclegan-tensorflow-simple

Tensorflow implementation of CycleGAN, mostly modified from https://github.com/XHUJOY/CycleGAN-tensorflow to a simpler version

cython_lstm

Python LSTM Python library for getting things done quickly, greatly, and without waiting 50 years for compilation

d2l-en

Dive into Deep Learning (CV chapters coming soon)

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

da-svms

Various SVM based methods for domain adaptation

daae_

Denoising Adversairal Autoencoders