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A MNIST-like fashion product database. Benchmark 👇
🏦 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
COX Proportional risk model and survival analysis implemented by tensorflow.
Notebooks for learning deep learning
The python verification code processing library pycapt supports extremely convenient verification code preprocessing and generation, and assists machine learning in automatically generating trainin…
A Python-embedded modeling language for convex optimization problems.
1st place models in Google OpenImage Detection Challenge 2019
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Poker bot using hand strength calculation, pre-flop simulation and opponent modeling
Research on Texas Hold'em AI
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
DeepSurv is a deep learning approach to survival analysis.
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Pytho…
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
Tensorflow & Keras implementation of building deep survival models with multiple gene expression datasets
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
【微信公众号：大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱[email protected]
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.