Jia-Xiang Cheng (jiaxiang-cheng)

jiaxiang-cheng

Geek Repo

Company:Nanyang Technological University

Location:Singapore

Home Page:jiaxiang-cheng.github.io

Twitter:@JiaXplorer

Github PK Tool:Github PK Tool

Jia-Xiang Cheng's repositories

PyTorch-PDQN-for-Digital-Twin-ACS

PyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering.

Language:PythonLicense:Apache-2.0Stargazers:10Issues:0Issues:0

auton-survival

Deep Survival Machines - Fully Parametric Survival Regression

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

DeepSurv

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.

Language:PythonStargazers:1Issues:0Issues:0

gigaGPT

a small code base for training large models

Language:PythonLicense:Apache-2.0Stargazers:1Issues:0Issues:0

PyTorch-Tutorials

Simple implementation for basic tasks.

Language:PythonLicense:Apache-2.0Stargazers:1Issues:1Issues:0

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

definer

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.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

PyTorch-SurvNAM

PyTorch implementation of SurvNAM (under development actively)

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

License:MITStargazers:0Issues:0Issues:0

Deep-Recurrent-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 (Python) implemented survival analysis methods.

Language:PythonStargazers:0Issues:0Issues:0

deeplift

Public facing deeplift repo

License:MITStargazers:0Issues:0Issues:0

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:1Issues:0

llama

Inference code for LLaMA models

License:NOASSERTIONStargazers:0Issues:0Issues:0

photography

A free online portfolio website to showcase your photos.

Language:JavaScriptLicense:GPL-3.0Stargazers:0Issues:0Issues:0

pykan

Kolmogorov Arnold Networks

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

PyTorch-CycleGAN-pix2pix

Image-to-Image Translation in PyTorch

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

scikit-survival

Survival analysis built on top of scikit-learn

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

sdhasidhas

v4 hook to automatically hedge impermanent loss with options

License:MITStargazers:0Issues:0Issues:0

squeeth-monorepo

Squeeth is a new financial primitive in DeFi that gives traders exposure to ETH²

Stargazers:0Issues:0Issues:0

SurvLIMEpy

Local interpretability for survival models

License:GPL-3.0Stargazers:0Issues:0Issues:0

survml-deepweisurv

PyTorch implementation of DeepWeiSurv, by Bennis, A., Mouysset, S., & Serrurier, M. (2020, May). Estimation of conditional mixture Weibull distribution with right censored data using neural network for time-to-event analysis. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 687-698). Springer, Cham.

Stargazers:0Issues:0Issues:0

survml-nsc

Implementation for the paper Neural Survival Clustering: Non parametric mixture of neural networks for survival clustering

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

survml-pycox

Survival analysis with PyTorch

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:0Issues:0

survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

YOLOv5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0