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links-uteis

liquidation-analysis-using-multi-agent-reinforcement-learning-icml-2019

Multi-agent Reinforcement Learning for Liquidation Strategy Analysis. ICML 2019 AI in Finance.

listening-to-chaotic-whishpers--code

listnet

Implementation of the listwise Learning to Rank algorithm described in the paper by Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li "Learning to rank: from pairwise approach to listwise approach"

listnet_chainer

a Chainer implementation of "Learning to rank: from pairwise approach to listwise approach" by Cao et al..

lite-transformer

[ICLR 2020] Lite Transformer with Long-Short Range Attention

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

litv2

This is the official PyTorch implementation of "Fast Vision Transformers with HiLo Attention"

livetrader

load_forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

lob

Benchmark Dataset of Limit Order Book in China Markets

lob-feature-analysis

Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.

lobpy

Python package for a class of tractable SPDE models for limit order book modeling

long-tailed-recognition.pytorch

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

lookahead.pytorch

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm_stock_price_prediction

LSTM神经网络预测沪深300指数及其涨跌

lstnet

lstnet-1

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

lstnet_keras

Keras version of LSTNet

luminol

Anomaly Detection and Correlation library

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

machine-learning-examples

machine-learning-flappy-bird

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

machine-learning-from-scratch

常用机器学习的算法简洁实现

machine-learning-implement

Teach you how to implement machine learning algorithms

machine-learning-market-maker

Implementation of a Bayesian-style market maker in the vein of 'Intelligent Market-Making in Artificial Financial Markets' by Sanmay Das

machine_learning_beginner

机器学习初学者公众号作品

mae-priv

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners