Jia-Xiang Cheng's Projects
Roadmap to becoming an Artificial Intelligence Expert in 2022
An experimental open-source attempt to make GPT-4 fully autonomous.
Deep Survival Machines - Fully Parametric Survival Regression
This repository contains best profile readme's for your reference.
A collection of awesome readme templates to display on your profile
TensorFlow code and pre-trained models for BERT
My Github Profile
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 (Python) implemented survival analysis methods.
DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
Public facing deeplift repo
DeepSurv is a deep learning approach to survival analysis. Katzman, J. L., Shaham, U., Cloninger, A., Bates, J., Jiang, T., & Kluger, Y. (2018). DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC medical research methodology, 18(1), 1-12.
By DeFiNER, Decentralized Finance Navigates Every Route. A Solution Framework for Modeling and Hedging Impermanent Loss and Dynamic Liquidity Provision Using Deep Reinforcement Learning in Uniswap V3 with Concentrated Liquidity. Fintech-As-A-Service: Hackathon of NUS Fintech Summit 2024.
Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
a small code base for training large models
Automatically generate summary GitHub statistics images for your profile using Actions, no server required
【Go 从入门到实战】学习笔记，从零开始学 Go、Gin 框架，基本语法包括 26 个Demo，Gin 框架包括：Gin 自定义路由配置、Gin 使用 Logrus 进行日志记录、Gin 数据绑定和验证、Gin 自定义错误处理、Go gRPC Hello World... 持续更新中...
Machine Learning for Go
Specify what you want it to build, the AI asks for clarification, and then builds it.
:blue_book: Home Assistant User documentation
give me a star , plz orz
Inference code for LLaMA models
Badges for your Profile and Projects.
Reproduction of the work by Krivtsov, V. V. (2000). A Monte Carlo approach to modeling and estimation of the generalized renewal process in repairable system reliability analysis. University of Maryland, College Park.
Behold this incredible piece of digital art, generated by OpenAI DALL·E, an AIGC platform. I simply provided the prompt, Two astronauts standing on colorful ocean, and this magnificent artwork appeared before my eyes. I am absolutely in love with it, and I urge you to support OpenAI's exceptional work!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent