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decpaul's Projects

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

annoy icon annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

asrt_speechrecognition icon asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统,使用CNN和CTC实现

awesome-public-datasets icon awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

basic_nns_in_frameworks icon basic_nns_in_frameworks

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

bert icon bert

TensorFlow code and pre-trained models for BERT

blade-build icon blade-build

A powerful build system from Tencent, support many mainstream programming languages, such as C/C++, java, scala, python, protobuf...

btm icon btm

Code for Biterm Topic Model (published in WWW 2013)

catboost icon catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chinese icon chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C EI indexing and one CCF B SCI indexing.

corenlp icon corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

dask icon dask

Parallel computing with task scheduling

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

densitypeakcluster icon densitypeakcluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

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