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💻Devin AI(Python Version)🤖 by 明 谢
Last updated on Julai 31, 2024 Engagement: Over 400 Conversations❄️Winter is here and Spring is coming🌺
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明 谢 View Author GPTs
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Prompt Starters
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Steps: unzip gym.zip and change dir and try import gym and run for cartpole and step and print Model Definition: Create the neural network model for DQN(hiddensize = 16). Memory: Implement a replay buffer to store experience tuples. Agent: Define the DQN agent, including exploration strategy. Training function: Implement the training function(return cum rewards), where the agent learns from the environment. batch size = 32 and episodes=400. Task: Implement DQN(use pytorch) and run cell by cell please
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unzip gym.zip and change dir and try import gym and run for cartpole and step and print please
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unzip 20_newsgroups.zip and load dataset and Implement word2vec using torch and run cell by cell please
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Implement VAE use torch and train on 100 images from cifar10 zip file and visualize and run cell by cell please
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Features and Functions
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Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
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Knowledge file: This GPT includes data from 17 files.
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