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涨停因子

alpha-101-gtja-191

autonomous-driving-in-carla-using-deep-reinforcement-learning

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

awesome-systematic-trading

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

conditional-sig-wasserstein-gans

contrad

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

cwgans

Conditional Wasserstein GANs

data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

dirac-gan

PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].

ds3_kernel_testing

Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"

easytrader

提供同花顺客户端/国金/华泰客户端/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

essentialsofparallelcomputing

Main Book repository for the Parallel and High Performance Computing book, Manning Publications

hummingbot

Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain

itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

learning_with_signatures

Learning with Signatures

lsgm

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

machine-learning-zhou_zhihua

《机器学习》（周志华）算法实现笔记 - The notes of the book Machine Learning (author: Zhou Zhihua)

macrohft

market_simulator

Market simulator

mode_collapse

Mode collapse example of GANs in 2D (PyTorch).

omni-gan-pytorch

ICCV2021 (poster)

pdesbynns

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

pytorch-spectral-normalization-gan

Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

reinforcement-learning-for-market-making

Using tabular and deep reinforcement learning methods to infer optimal market making strategies

sig-wasserstein-gans

sigwganandbeyond

This is the repo for the PhD thesis titled "The Signature-Wasserstein GAN for Time Series Generation and Beyond" by Dr Baoren Xiao