bullud Goto Github PK

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch-retinanet-1

RetinaNet in PyTorch

pytorch-template

my pytorch project template (for kaggle and research)

quanter

从原来的StockTrader迁移过来

query-by-humming

This is a project to achieve a query by humming system with the help of SPRING algorithm.

radiomodem

Microcontroller based amateur radio modem. (BPSK31/RTTY/APRS)

recurrent-visual-attention

rlexample

Some basic examples of playing with RL

rnn

Recurrent Neural Network library for Torch7's nn

robust-text-detection

Robust Text Detection implementation based on http://www.stanford.edu/~hchen2/papers/ICIP2011_RobustTextDetection.pdf

rstarcnn

R*CNN

sfm_toolbox

show_attend_and_tell.tensorflow

sinalv2

API for sina level2 market quotations

sketch-rnn

Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics data in TensorFlow

sketchkeras

an u-net with some algorithm to take sketch from paints

slate

Beautiful static documentation for your API

solt

Streaming over lightweight data transformations

speaker-recognition

A Real-time Speaker Recognition System with GUI

spf13-vim

The ultimate vim distribution

stack-rnn

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

star-cascade

Cascade Object Detection with Deformable Part Models – Add-on package for voc-release4.01

stochastic_depth_keras

Rewriting code for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382 in keras

stocktrader

提供股票程序化交易功能，支持基金交易

style2paints

sketch + style = paints :art:

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

tensorflow-examples

TensorFlow tutorials and code examples for beginners

tensorflow-speech-recognition

Speech recognition using google's tensorflow deep learning framework, sequence-to-sequence neural networks