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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

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

hummingbot

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

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)

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.

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

so-vits-svc

基于vits与softvc的歌声音色转换模型

stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

stylegan_xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

super-slomo

PyTorch implementation of Super SloMo by Jiang et al.