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涨停因子
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
The author's officially unofficial PyTorch BigGAN implementation.
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
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
Conditional Wasserstein GANs
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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.
PyTorch reimplementation of the DiracGAN proposed in the paper "Which Training Methods for GANs do actually Converge?" [ICML 2018].
Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
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
Main Book repository for the Parallel and High Performance Computing book, Manning Publications
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
Learning with Signatures
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
《机器学习》(周志华)算法实现笔记 - The notes of the book Machine Learning (author: Zhou Zhihua)
Market simulator
Mode collapse example of GANs in 2D (PyTorch).
ICCV2021 (poster)
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Using tabular and deep reinforcement learning methods to infer optimal market making strategies
This is the repo for the PhD thesis titled "The Signature-Wasserstein GAN for Time Series Generation and Beyond" by Dr Baoren Xiao
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.