230 Python Policy-evaluation Libraries

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

15k Jan 2, 2023

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

OCTIS : Optimizing and Comparing Topic Models is Simple! OCTIS (Optimizing and Comparing Topic models Is Simple) aims at training, analyzing and compa

478 Jan 1, 2023

A Python package that provides evaluation and visualization tools for the DexYCB dataset

DexYCB Toolkit DexYCB Toolkit is a Python package that provides evaluation and visualization tools for the DexYCB dataset. The dataset and results wer

107 Dec 26, 2022

Validate all your Customer IAM Policies against AWS Access Analyzer - Policy Validation

✅ Access Analyzer - Batch Policy Validator This script will analyze using AWS Access Analyzer - Policy Validation all your account customer managed IA

41 Dec 12, 2022

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Multi-Agent-Deep-Deterministic-Policy-Gradients A Pytorch implementation of the multi agent deep deterministic policy gradients(MADDPG) algorithm This

159 Dec 28, 2022

Policy and data administration, distribution, and real-time updates on top of Open Policy Agent

⚡ OPAL ⚡ Open Policy Administration Layer OPAL is an administration layer for Open Policy Agent (OPA), detecting changes to both policy and policy dat

8 Dec 7, 2022

Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face Manipulation" published in CVPR 2020.

FFD Source Code Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face M

88 Nov 22, 2022

中文空间语义理解评测

中文空间语义理解评测最新消息 2021-04-10 🚩 排行榜发布： Leaderboard 2021-04-05 基线系统发布： SpaCE2021-Baseline 2021-04-05 开放数据提交：提交结果 2021-04-01 开放报名：我要报名 2021-04-01 数据集 pa

40 Jan 4, 2023

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).

This is the original implementation of our paper, A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem (arXiv:1706.1

1.5k Dec 29, 2022

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

A tour through tensorflow with financial data I present several models ranging in complexity from simple regression to LSTM and policy networks. The s

195 Dec 7, 2022

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Stock Trading Market OpenAI Gym Environment with Deep Reinforcement Learning using Keras Overview This project provides a general environment for stoc

769 Dec 25, 2022

Scalable, event-driven, deep-learning-friendly backtesting library

...Minimizing the mean square error on future experience. - Richard S. Sutton BTGym Scalable event-driven RL-friendly backtesting library. Build on

922 Dec 27, 2022

Source code for the GPT-2 story generation models in the EMNLP 2020 paper "STORIUM: A Dataset and Evaluation Platform for Human-in-the-Loop Story Generation"

Storium GPT-2 Models This is the official repository for the GPT-2 models described in the EMNLP 2020 paper [STORIUM: A Dataset and Evaluation Platfor

27 Dec 20, 2022

TextFlint is a multilingual robustness evaluation platform for natural language processing tasks,

TextFlint is a multilingual robustness evaluation platform for natural language processing tasks, which unifies general text transformation, task-specific transformation, adversarial attack, sub-population, and their combinations to provide a comprehensive robustness analysis.

587 Dec 20, 2022

Code for paper "A Critical Assessment of State-of-the-Art in Entity Alignment" (https://arxiv.org/abs/2010.16314)

A Critical Assessment of State-of-the-Art in Entity Alignment This repository contains the source code for the paper A Critical Assessment of State-of

16 Oct 14, 2022

An introduction of Markov decision process (MDP) and two algorithms that solve MDPs (value iteration, policy iteration) along with their Python implementations.

Markov Decision Process A Markov decision process (MDP), by definition, is a sequential decision problem for a fully observable, stochastic environmen

31 Dec 30, 2022

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Petastorm Contents Petastorm Installation Generating a dataset Plain Python API Tensorflow API Pytorch API Spark Dataset Converter API Analyzing petas

1.6k Dec 31, 2022

CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum AP improvement of 1.9% and an average AP of 0.8% improvement on MS COCO dataset, compared to traditional evaluation-feedback modules. Here we just use as an example to illustrate the code.

CDIoU-CDIoUloss CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent p

24 Jul 19, 2022

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

UNION Automatic Evaluation Metric described in the paper UNION: An UNreferenced MetrIc for Evaluating Open-eNded Story Generation (EMNLP 2020). Please

50 Dec 30, 2022

An OCR evaluation tool

dinglehopper dinglehopper is an OCR evaluation tool and reads ALTO, PAGE and text files. It compares a ground truth (GT) document page with a OCR resu

40 Dec 20, 2022

TedEval: A Fair Evaluation Metric for Scene Text Detectors

TedEval: A Fair Evaluation Metric for Scene Text Detectors Official Python 3 implementation of TedEval | paper | slides Chae Young Lee, Youngmin Baek,

167 Nov 20, 2022

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

SCUT-CTW1500 Datasets We have updated annotations for both train and test set. Train: 1000 images [images][annos] Additional point annotation for each

600 Dec 18, 2022

A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer from NNAISENSE.

PGPElib A mini library for Policy Gradients with Parameter-based Exploration [1] and friends. This library serves as a clean re-implementation of the

56 Jan 1, 2023

This is the source code of RPG (Reward-Randomized Policy Gradient)

RPG (Reward-Randomized Policy Gradient) Zhenggang Tang*, Chao Yu*, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu (

40 Nov 25, 2022

Automatically compile an AWS Service Control Policy that ONLY allows AWS services that are compliant with your preferred compliance frameworks.

aws-allowlister Automatically compile an AWS Service Control Policy that ONLY allows AWS services that are compliant with your preferred compliance fr

189 Dec 8, 2022

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. Now with tensorflow 1.0 support. Evaluation usa

349 Aug 6, 2022

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos A concise deep reinforcement learning libr

329 Jan 3, 2023

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

SLM Lab Modular Deep Reinforcement Learning framework in PyTorch. Documentation: https://slm-lab.gitbook.io/slm-lab/ BeamRider Breakout KungFuMaster M

1.1k Dec 24, 2022

Multi-class confusion matrix library in Python

Table of contents Overview Installation Usage Document Try PyCM in Your Browser Issues & Bug Reports Todo Outputs Dependencies Contribution References

1.3k Dec 31, 2022

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Note: the current releases of this toolbox are a beta release, to test working with Haskell's, Python's, and R's code repositories. Metrics provides i

1.6k Dec 26, 2022

Python Policy-evaluation Resources

Python policy-evaluation Libraries

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

A Python package that provides evaluation and visualization tools for the DexYCB dataset

Validate all your Customer IAM Policies against AWS Access Analyzer - Policy Validation

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Policy and data administration, distribution, and real-time updates on top of Open Policy Agent

Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face Manipulation" published in CVPR 2020.

中文空间语义理解评测

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).

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Scalable, event-driven, deep-learning-friendly backtesting library

Source code for the GPT-2 story generation models in the EMNLP 2020 paper "STORIUM: A Dataset and Evaluation Platform for Human-in-the-Loop Story Generation"

TextFlint is a multilingual robustness evaluation platform for natural language processing tasks,

Code for paper "A Critical Assessment of State-of-the-Art in Entity Alignment" (https://arxiv.org/abs/2010.16314)

An introduction of Markov decision process (MDP) and two algorithms that solve MDPs (value iteration, policy iteration) along with their Python implementations.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

An OCR evaluation tool

TedEval: A Fair Evaluation Metric for Scene Text Detectors

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer from NNAISENSE.

This is the source code of RPG (Reward-Randomized Policy Gradient)

Automatically compile an AWS Service Control Policy that ONLY allows AWS services that are compliant with your preferred compliance frameworks.

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Multi-class confusion matrix library in Python

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Python Policy-evaluation Resources

Python policy-evaluation Libraries

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

A Python package that provides evaluation and visualization tools for the DexYCB dataset

Validate all your Customer IAM Policies against AWS Access Analyzer - Policy Validation

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

Policy and data administration, distribution, and real-time updates on top of Open Policy Agent

Provided is code that demonstrates the training and evaluation of the work presented in the paper: "On the Detection of Digital Face Manipulation" published in CVPR 2020.

中文空间语义理解评测

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).

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Scalable, event-driven, deep-learning-friendly backtesting library

Source code for the GPT-2 story generation models in the EMNLP 2020 paper "STORIUM: A Dataset and Evaluation Platform for Human-in-the-Loop Story Generation"

TextFlint is a multilingual robustness evaluation platform for natural language processing tasks,

Code for paper "A Critical Assessment of State-of-the-Art in Entity Alignment" (https://arxiv.org/abs/2010.16314)

An introduction of Markov decision process (MDP) and two algorithms that solve MDPs (value iteration, policy iteration) along with their Python implementations.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

An OCR evaluation tool

TedEval: A Fair Evaluation Metric for Scene Text Detectors

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer from NNAISENSE.

This is the source code of RPG (Reward-Randomized Policy Gradient)

Automatically compile an AWS Service Control Policy that ONLY allows AWS services that are compliant with your preferred compliance frameworks.

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Multi-class confusion matrix library in Python

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

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