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jiangyy5318's Projects

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

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18个章节,近30万字。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

dlrm icon dlrm

An implementation of a deep learning recommendation model (DLRM)

financereportanalysis icon financereportanalysis

获取3775家上市公司近5年财务报表,建立财务报表分析模型,借助pyqt生成窗口化展示页面。

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.

linkis icon linkis

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

models icon models

Models and examples built with TensorFlow

parallelgibbs icon parallelgibbs

Collection of old research code for parallel Gibbs sampling.

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet2 icon pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

prml icon prml

PRML algorithms implemented in Python

ray icon ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

resume icon resume

An elegant \LaTeX\ résumé template

tensorflow-book icon tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

tensorflow-yolov3 icon tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

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