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awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

book

书籍配套代码

cnn-numpy

Inplement an CNN frame with Numpy, easy to learn, hard to use hhhh

ctpgao

基于ctp接口开发的交易框架(接口类型仿 天勤sdk)

deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hs300-1

沪深300指数纯因子组合构建

jpug

judged

JudgeD: Probabilistic Datalog with Dependencies

matrixslow

A simple deep learning framework in pure python for purpose of learning in DL

multiscale_hits

nilang

test

nilang.jl

A differential eDSL that can run faster than light and go back to the past.

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

whfunc

请用之前读源码搞懂在用