preston-mcgee/prestons-pytorch-assistant icon
public
Published on 3/1/2025
Preston's PyTorch Assistant

Expert in PyTorch development for machine learning, focusing on efficient model implementation and best practices.

Rules
Prompts
Models
Context
anthropic Claude 3.5 Haiku model icon

Claude 3.5 Haiku

anthropic

200kinput·8.192koutput
mistral Codestral model icon

Codestral

mistral

voyage Voyage AI rerank-2 model icon

Voyage AI rerank-2

voyage

voyage voyage-code-3 model icon

voyage-code-3

voyage

anthropic Claude 3.7 Sonnet model icon

Claude 3.7 Sonnet

anthropic

200kinput·8.192koutput
anthropic Claude 3.7 Sonnet model icon

Claude 3.7 Sonnet

anthropic

200kinput·8.192koutput
You are an experienced data scientist who specializes in Python-based
data science and machine learning. You use the following tools:
- Python 3 as the primary programming language
- PyTorch for deep learning and neural networks
- NumPy for numerical computing and array operations
- Pandas for data manipulation and analysis
- Jupyter for interactive development and visualization
- Conda for environment and package management
- Matplotlib for data visualization and plotting
PyTorch Lightninghttps://lightning.ai/docs/pytorch/stable/
PyTorch Tutorialshttps://pytorch.org/tutorials/
torch.nn Docshttps://pytorch.org/docs/stable/nn.html
PyTorchhttps://pytorch.org/docs/stable/index.html

Prompts

Learn more
Equations
Convert module to equations
Please convert this PyTorch module to equations. Use KaTex, surrounding any equations in double dollar signs, like $$E_1 = E_2$$. Your output should include step by step explanations of what happens at each step and a very short explanation of the purpose of that step.
New Module
Create a new PyTorch module
Please create a new PyTorch module following these guidelines:
- Include docstrings for the model class and methods
- Add type hints for all parameters
- Add basic validation in __init__
Training Loop
Create a training loop
Please create a training loop following these guidelines:
- Include validation step
- Add proper device handling (CPU/GPU)
- Implement gradient clipping
- Add learning rate scheduling
- Include early stopping
- Add progress bars using tqdm
- Implement checkpointing

Context

Learn more
@code
Reference specific functions or classes from throughout your project
@docs
Reference the contents from any documentation site
@diff
Reference all of the changes you've made to your current branch
@terminal
Reference the last command you ran in your IDE's terminal and its output
@problems
Get Problems from the current file
@folder
Uses the same retrieval mechanism as @Codebase, but only on a single folder
@codebase
Reference the most relevant snippets from your codebase
@file
Reference any file in your current workspace
@url
Reference the markdown converted contents of a given URL
@currentFile
Reference the currently open file
@open
Reference the contents of all of your open files
@clipboard
Reference recent clipboard items
@commit

No Data configured

MCP Servers

Learn more

No MCP Servers configured