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beijinggao's Projects

bitcoin icon bitcoin

Bitcoin Core integration/staging tree

book icon book

关于技术类的电子书,为了去中心化,保存在git上,不至于丢失,[侵删]

buntdb icon buntdb

BuntDB is a fast, embeddable, in-memory key/value database for Go with custom indexing and geospatial support

byteps icon byteps

A high performance and generic framework for distributed DNN training

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-model icon caffe-model

Python script to generate prototxt on Caffe, specially the inception_v3 \ inception_v4 \ inception_resnet \ fractalnet

caffe_ocr icon caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构

ccv icon ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

cdr icon cdr

This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"

cef2go icon cef2go

CEF2go is an HTML 5 based GUI toolkit for the Go language.      :speech_balloon: Forum:

chainer icon chainer

A flexible framework of neural networks for deep learning

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-api icon char-rnn-api

API for char-rnn, a multi-layer Recurrent Neural Network (LSTM, GRU, RNN) for character-level language models in Torch.

char-rnn-tensorflow icon char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cikm2020_dmt icon cikm2020_dmt

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

code icon code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

colornet icon colornet

Neural Network to colorize grayscale images

colossalai icon colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

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