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zack's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bert_in_keras icon bert_in_keras

在Keras下微调Bert的一些例子;some examples of bert in keras

caffe icon caffe

Caffe: a fast open framework for deep learning.

coobjc icon coobjc

coobjc provides coroutine support for Objective-C and Swift. We added await method、generator and actor model like C#、Javascript and Kotlin. For convenience, we added coroutine categories for some Foundation and UIKit API in cokit framework like NSFileManager, JSON, NSData, UIImage etc. We also add tuple support in coobjc.

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

drit icon drit

Learning diverse image-to-image translation from unpaired data

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

home-assistant icon home-assistant

:house_with_garden: Open-source home automation platform running on Python 3

keras icon keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

models icon models

Models and examples built with TensorFlow

mpnet icon mpnet

MPNet: Masked and Permuted Pre-training for Language Understanding https://arxiv.org/pdf/2004.09297.pdf

multihead_joint_entity_relation_extraction icon multihead_joint_entity_relation_extraction

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

prml icon prml

PRML algorithms implemented in Python

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