neuro-symbolic-sudoku-solver VS deep-RL-trading

Compare neuro-symbolic-sudoku-solver vs deep-RL-trading and see what are their differences.

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neuro-symbolic-sudoku-solver deep-RL-trading
1 14
66 342
- -
0.0 0.0
over 2 years ago almost 3 years ago
Python Python
Apache License 2.0 MIT License
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neuro-symbolic-sudoku-solver

Posts with mentions or reviews of neuro-symbolic-sudoku-solver. We have used some of these posts to build our list of alternatives and similar projects.

deep-RL-trading

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

What are some alternatives?

When comparing neuro-symbolic-sudoku-solver and deep-RL-trading you can also consider the following projects:

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

muzero-general - MuZero

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

TradingView-Machine-Learning-GUI - Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.

DiCE - Generate Diverse Counterfactual Explanations for any machine learning model.

softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

sudoku - Can Neural Networks Crack Sudoku?

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

DragGAN - Unofficial implementation of the DragGAN paper

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.

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