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a-uniformly-distributed-random-portfolio-udrp

Unofficial Implementation of A uniformly distributed random portfolio(UDRP)

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디

anomaly_transformer_pytorch

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

attentive-neural-processes

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

avuc

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-incremental-learning

Awesome Incremental Learning

awesome-time-series

list of papers, code, and other resources

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

bandit_portfolio_version

Only release code of basic framework and "Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit" (IJCAI 2020)

batch-instance-normalization

Batch-Instance Normalization (BIN)

bht-arima

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

bigcon

Bigcontest code

chebykan

Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

coco-lm-pytorch

Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch

consistency_models

Unofficial Implementation of Consistency Models in pytorch

continual-learning

All in One - Continual Learning

continuous-time-flow-process

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

contrastive_planning

Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"

convmixer

dacon_baseline

data-driven-portfolio-optimization

Official Implementation of Data-Driven-Portfolio-Optimization

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-robust-statistical-arbitrage

This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NETWORKS"

deep-stochastic-volatility-model

https://arxiv.org/abs/2102.12658

deeptimeseriesmodel

A paper list for Time series modelling, including prediciton and anomaly detection

demand_forecast