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ee626-project

EE626 PRML Course Project

example-code

Example code for the book Fluent Python

facenet

Face recognition using Tensorflow

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gitignore

A collection of useful .gitignore templates

gnn-algorithms

图神经网络相关算法详述及实现

h2oaction

hamnet

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

hgr_v2t

Code accompanying the paper "Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning".

hw1-kevinliu726

hw1-kevinliu726 created by GitHub Classroom

hybrid_space

Source code of our TPAMI'21 paper Dual Encoding for Video Retrieval by Text and CVPR'19 paper Dual Encoding for Zero-Example Video Retrieval.

icpr_mtwi_2018_section1

ICPR MTWI 2018 挑战赛一

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

loupe

Tensorflow toolbox implementing several learnable pooling architecture

machine-learning-notes

周志华《机器学习》手推笔记

machinelearning_tensorflow_googlecloudplatform_course4_featureengineering

Improving model accuracy with new features. Added new features with the appropriate representation to improve model accuracy. A simple Dataflow pipeline (python and Apache Beam APIs). Wrote a simple Dataflow pipeline in Python. Executed the query on the local machine (cloud shell). Executed the query on the cloud. MapReduce in Dataflow (python). Used pipeline options in Dataflow. Carried out mapping transformations. Carried out reduce aggregations. NOTE—Redo This Part. Computing Time-Windowed Features in Cloud Dataprep. Ingested, transformed, and analyzed a taxi cab dataset using Google Cloud Dataprep. Explored a complex data set, using a GUI in browser. Calculated key reporting metrics like the average number of passengers picked up in the past hour (rolling average using pre-built wrangler functions from data parameter). Built a new Flow using cloud Dataprep. Created and chained transformation steps with recipes. Ran Cloud Dataprep jobs (Dataflow behind-the-scenes). Improve ML model with Feature Engineering. Worked with feature columns. Added feature crosses in TensorFlow. Read data from BigQuery. Created datasets using Dataflow. Used a wide-and-deep model. Exploring tf.transform. Wrote a Beam pipeline to analyze and transform the training data. Within the same Beam pipeline, transformed the evaluation data and saved the transform function to be later used during prediction. Modified evaluation input functions to read those pre-processed files. Trained the model. Used Dataflow to do pre-processing at scale. Carried out pre-processing efficiently as part of the model graph in TensorFlow during serving. Learned to do pre-processing over multiple CPUs in a distributed way using Cloud and to make use of efficiency of CPUs, GPUs, and TensorFlow processing unit during prediction.

ml-notes

notes about machine learning

ml_gcn

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

mmt

Multi-Modal Transformer for Video Retrieval

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paperwriting

python-cheatsheet

Comprehensive Python Cheatsheet

python-feature-engineering-cookbook

Python Feature Engineering Cookbook, published by Packt

pythonntc