Practical_RL VS AIrsenal

Compare Practical_RL vs AIrsenal and see what are their differences.

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Practical_RL AIrsenal
2 1
5,753 252
1.1% 0.0%
6.0 8.2
26 days ago 1 day ago
Jupyter Notebook Jupyter Notebook
The Unlicense 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.

Practical_RL

Posts with mentions or reviews of Practical_RL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-25.

AIrsenal

Posts with mentions or reviews of AIrsenal. We have used some of these posts to build our list of alternatives and similar projects.
  • Fantasy premier league AI algorithms
    1 project | /r/CodingHelp | 24 Oct 2023
    I like this this bot that uses linear regression and I was wondering if I could take the same training data and use a better algorithm, what would be an appropriate algorithm i can use to train a better model?

What are some alternatives?

When comparing Practical_RL and AIrsenal you can also consider the following projects:

webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

DeezyMatch - A Flexible Deep Learning Approach to Fuzzy String Matching

FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.

FinMind - Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/

awesome-rl - Reinforcement learning resources curated

QuantumKatas - Tutorials and programming exercises for learning Q# and quantum computing

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

awesome-notebooks - A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

redisai-examples - RedisAI showcase

skorch - A scikit-learn compatible neural network library that wraps PyTorch