base VS Reinforcement-Learning

Compare base vs Reinforcement-Learning and see what are their differences.

base

Adansons Base is a data programming tool for error-analysis of training results. It organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps to find low-quality data by using the training results and improves AI performance. (by adansons)
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base Reinforcement-Learning
1 1
28 4,091
- -
0.0 0.0
over 1 year ago almost 4 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

base

Posts with mentions or reviews of base. We have used some of these posts to build our list of alternatives and similar projects.

Reinforcement-Learning

Posts with mentions or reviews of Reinforcement-Learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing base and Reinforcement-Learning you can also consider the following projects:

OpenBBTerminal - Investment Research for Everyone, Everywhere.

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Data-science - Collection of useful data science topics along with articles, videos, and code

Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

TextWorld - ​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.