shinypond's repositories
AirFormer
PyTorch implementation of AirFormer, AAAI-23
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
awesome-deep-rl
For deep RL and the future of AI.
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Battery_Ref_Generator
Deep Neural Network-based Battery Reference Cycle Generator
Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
deep-time-series
Deep learning PyTorch library for time series forecasting
deephedging
Implementation of the vanilla Deep Hedging engine
DeepTime
PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
exchange_calendars
Calendars for various securities exchanges.
HIV-PERDDQN
An official implementation of "An Efficient Deep Q Learning Method to Find the Optimal STI Controls for HIV Patients" (PER-DDQN)
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
kiwoom
키움 증권 OpenAPI 파이썬 심플 라이브러리
Loci
Learning What and Where – Unsupervised Disentangling Location and Identity Tracking
LTSF-Linear
This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
pfhedge
PyTorch-based framework for Deep Hedging
q-learning_with_bounded_naf
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
SIDARTHE_RL
Solving SIDARTHE control problem through RL
stable-diffusion
A latent text-to-image diffusion model
state-spaces
Sequence Modeling with Structured State Spaces
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
textual
Textual is a Rapid Application Development framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and (coming soon) a web browser!
TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite