li-ming-fan Goto Github PK

rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rouge_eval

ROUGE, ROUGE-1.5.5, pyrouge, installation guide

sabaki

An elegant Go board and SGF editor for a more civilized age.

sac-continuous-pytorch

a clean and robust Pytorch implementation of SAC on continuous action space

sac-discrete.pytorch

PyTorch implementation of SAC-Discrete.

sage

No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models (ICLR 2022)

simplejson

Simple JSON parser, loader and saver, JAVA

simplememo

SimpleMemo with memo saved to txt-file

slotgated-slu

Slot-Gated Modeling for Joint Slot Filling and Intent Prediction

smac

SMAC: The StarCraft Multi-Agent Challenge

spotmicro

Spot Micro Quadripeg Project

spotmicroai

SpotMicro AI - How to build a self-learning Robot

springrank

Calculates SpringRank from directed networks or pairwise comparisons

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

streamlit

Streamlit — The fastest way to build data apps in Python

structured-self-attention

A Structured Self-attentive Sentence Embedding

taxorl

code for the paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction" ACL 2018

td3-bipedalwalkerhardcore-v2

Solve BipedalWalkerHardcore-v2 with TD3

td3-pytorch

A clean and robust Pytorch implementation of TD3 on continuous action space

text_classification

Text classification models: cnn, self-attention, cnn-rnf, rnn-att, capsule-net. TensorFlow. Single GPU or multi GPU

text_classification_hierarchical

Text classification (hierarchical) models: HCSM, HRNN, HAN, ...

tf_metrics

Multi-class metrics for Tensorflow

tianchi-nl2sql-top1

天池nl2sql冠军方案

transformer-pointer-generator

Abstract summary by transformer and pointer generator

transformer-tensorflow

Transformer, Tensorflow

trpo-in-marl

trustworthyai

trustworthy AI related projects

tucore-gcn

unified-summarization

Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.

videocaption

视频的文本摘要(标注)，输入一段视频，通过深度学习网络和人工智能程序识别视频主要表达的意思(Input a video output a txt decribing the video)。