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mzhengmit's Projects

100-pandas-puzzles icon 100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

adv_fin_ml_exercises icon adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

ccxt icon ccxt

A JavaScript / Python / PHP cryptocurrency trading library with support for more than 90 bitcoin/altcoin exchanges

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.

chinese-annotator icon chinese-annotator

Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具

chinesener icon chinesener

A neural network model for Chinese named entity recognition

cs224n icon cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

dedupe icon dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

deeplearning.ai icon deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

dssm icon dssm

DSSM and Multi-View DSSM

euler icon euler

A distributed graph deep learning framework.

fasttext icon fasttext

Library for fast text representation and classification.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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