shadowleaves

shadowleaves's Stars

• WeNeedHome/SummaryOfLoanSuspension

  全国各省市停贷通知汇总

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• vaexio/vaex

  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

  Language:Python8.3k1441.2k591

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.5k395851.1k

• carpedm20/ENAS-pytorch

  PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

  Language:Python2.7k10847493

• johnma2006/mamba-minimal

  Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

  Language:Python2.6k2428192

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.9k29161464

• cvxgrp/cvxpylayers

  Differentiable convex optimization layers

  Language:Python1.8k58114162

• VivekPa/AIAlpha

  Use unsupervised and supervised learning to predict stocks

  Language:Python1.7k13129448

• AlexPresso/VideoStation-FFMPEG-Patcher

  Patcher to enable DTS, EAC3 and TrueHD transcoding support to Synology VideoStation (from DSM 6.2 to DSM 7.0 and above ; ffmpeg4, 5, 6, 7 ready)

  Language:Shell1.1k2675102

• hardmaru/estool

  Evolution Strategies Tool

  Language:Jupyter Notebook9363227163

• jankrepl/deepdow

  Portfolio optimization with deep learning.

  Language:Python9232699137

• notadamking/Stock-Trading-Environment

  A custom OpenAI gym environment for simulating stock trades on historical price data.

  Language:Python8033512296

• darknebular/Wrapper_VideoStation

  Synology VideoStation and DLNA FFmpeg Wrapper with AAC, DTS, EAC3 and TrueHD support via pipes (now with GStreamer support). It enables full hardware transcoding from Synology´s FFmpeg for video and transcoding DTS, EAC3, TrueHD and AAC from the SynoCommunity's FFmpeg only when necessary.

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• MiloMallo/Stock

  Stock Market Prediction Using Unsupervised Features

  Language:Python328190215

• SC4RECOIN/LSTM-Crypto-Price-Prediction

  Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

  Language:Python29219059

• Wentao-Xu/HIST

  The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

  Language:Python24192869

• hungchun-lin/Stock-price-prediction-using-GAN

  In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

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• ajcr/rolling

  Computationally efficient rolling window iterators for Python (sum, variance, min/max, etc.)

  Language:Python2018298

• rasmusbergpalm/evostrat

  A library that makes Evolutionary Strategies (ES) simple to use.

  Language:Python1796214

• cderinbogaz/inpredo

  Inpredo is a Deep Learning tool which looks into financial charts and predicts stock movements.

  Language:Python159161993

• lucidrains/ETSformer-pytorch

  Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

  Language:Python149101020

• jiewwantan/StarTrader

  This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.

  Language:Python1049142

• hcarlens/pytorch-tabular

  Some examples of using PyTorch for tabular data

  Language:Python654215

• pecu/Series2GAF

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• sg-nm/cgp-cnn-PyTorch

  A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

  Language:Python4631224

• ChickenBenny/VAE-in-predicting-stock

  VAE in feature extraction help predicting stock

  Language:Jupyter Notebook39324

• haihabi/GeneticNAS

  The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.

  Language:Python28553

• kroggen/mamba-cpu

  Modified Mamba code to run on CPU

  Language:Python26203

• my2582/Adversarial-RL

  A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock market setting. The strategies adjusted weights to different stocks over time to maximize profits.

  Language:Python13107

• jmberutich/GeneticProgrammingTradingExperiments

  Code from the paper "Robust technical trading strategies using GP for algorithmic portfolio selection"

  Language:Python10104