Hawk0321's Stars
Azranus/justmysocks
Just My Socks 2024最新翻墙梯子教程(支持ChatGPT)科学上网
bashtage/arch
ARCH models in Python
PyWavelets/pywt
PyWavelets - Wavelet Transforms in Python
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
rlabbe/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
pytorch/captum
Model interpretability and understanding for PyTorch
sktime/sktime
A unified framework for machine learning with time series
optuna/optuna
A hyperparameter optimization framework
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
schrodingercatss/tuning_playbook_zh_cn
一本系统地教你将深度学习模型的性能最大化的战术手册。
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
young-geng/EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
test-time-training/ttt-lm-pytorch
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
google-research/timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
test-time-training/ttt-lm-jax
Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
iamadamdev/bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
mims-harvard/Raindrop
Graph Neural Networks for Irregular Time Series
WenjieDu/PyPOTS
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
liuxz1011/TodyNet
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
irecsys/MOPO-LSI
Multi-Objective Portfolio Optimization Library for Sustainable Investments
hudson-and-thames/arbitragelab
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
ccxt/ccxt
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
jingmouren/kai-trading-bot-pair
binance/binance-public-data
Details on how to get Binance public data