lq-ql Goto Github PK

a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

ast

Adversarial Sparse Transformer for Time Series Forecasting

axorderbook

A股订单簿工具，使用逐笔行情进行订单簿重建、千档快照发布、各档委托队列展示等，包括python模型和FPGA HLS实现。

capmarket

deep-finance

Datasets, papers and books on AI & Finance.

deepar

Tensorflow implementation of Amazon DeepAR

deepar-torch

This is a pytorch version of DeepAR.

demand_forecast

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

elegantrl

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

garbage_classify

最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。本项目包含完整的分类网络、数据增强、SVM等各种分类增强策略，后续还会继续更新新的分类技巧。

ghm-keras

GHM-C Loss of keras

ghm_loss

The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).

keras-extract-weights

Utility for extracting layer weights and biases from Keras models

keras-stochastic-weight-averaging

Keras callback function for stochastic weight averaging

kryon

FPGA,Verilog,Python

pair-trading-reinforcement-learning

An Structural Application of Reinforcement Learning in Pair Trading

predicting-stock-prices-with-financial-news

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

rl-stock

📈 如何用深度强化学习自动炒股

seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

stock-market-trend-analysis-using-hmm-lstm

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

stockprediction

Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.

stockrl

在A股(股票)市场上训练强化学习交易智能体

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

tf_resnest_regnet_model

tensorflow 2.x version of ResNeSt,RegNet,DETR

time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats

verilog