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AresTF's Projects

ctrnet-tool icon ctrnet-tool

This's the tool for CTR, including FM, FFM, NFFM and so on.

cursor icon cursor

An editor made for programming with AI 🤖

cv-code icon cv-code

C++从零实现传统视觉算法:边缘检测、直线&圆检测、直方图均衡化、风格迁移、人脸融合、全景图拼接、图像矫正、手写体识别

cvat icon cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cython icon cython

The most widely used Python to C compiler

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

darknet icon darknet

YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datacamp_facebook_live_titanic icon datacamp_facebook_live_titanic

DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, data cleaning and machine leaning. Enjoy.

datalab icon datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

datasets icon datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

dataspherestudio icon dataspherestudio

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

datastream.io icon datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepface icon deepface

A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python

deepfacelab icon deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

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,50余万字。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

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