AnalogCoderPro

(★ 65)

[TCAD 2026] AnalogCoder-Pro: Unifying Analog Circuit Generation and Optimization via Multi-modal LLMs

Owner Repos

AnalogCoder ★ 193

[AAAI 2025 Oral] AnalogCoder: Analog Circuit Design via Training-Free Code Generation

Python
maskplace ★ 72

[NeurIPS 2022 Spotlight] MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

Raku
ChiPFormer ★ 56

[ICML 2023] ChiPFormer: Transferable Chip Placement via Offline Decision Transformer

Raku
ArithTreeRL ★ 16

[NeurIPS 2024 Spotlight] Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs

Verilog
LithoGRPO ★ 9

[ICML 2026] LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow Matching

Python

File Explorer

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  • .gitignore
  • dc_sweep_template.py
  • execution_error.md
  • opamp.py
  • optimize_template.md
  • problem_set.tsv
  • prompt_template.md
  • prompt_template_comptex.md
  • prompt_template_optimize.md
  • README.md
  • run.py
  • simulation_error.md
  • vlm_debug_prompt.md

# Use via CDN

jsDelivr

jsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.

Link
Example

Command Glossary

Commands referenced in this DOCs, explained below.

🔍

conda activate

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Activate a conda environment.
See also: `conda deactivate`.

conda activate myenv

Activate an existing environment named `myenv`:

conda activate {{path/to/myenv}}

Activate an existing environment located at custom path:

conda activate --stack myenv

Stack `myenv` environment on top of a previous environment making libraries/commands/variables from both accessible:

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conda create

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Create new conda environments.

conda create {{[-y|--yes]}} {{[-n|--name]}} py39 python=3.9 "numpy>=1.11" scipy

Create a new environment named `py39`, install Python 3.9, NumPy v1.11 or above in it, and the latest stable version of SciPy. Say yes to all confirmations:

conda create {{[-n|--name]}} myenv --file {{file1.yml}} --file {{file2.yml}}

Create a new environment named `myenv` and install packages listed in files:

conda create {{[-p|--prefix]}} {{path/to/myenv}}

Create a new environment at a custom path (i.e. prefix):

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conda install

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Install packages into an existing conda environment.

conda install {{package1 package2 ...}}

Install one or more package into the currently active conda environment:

conda install {{[-c|--channel]}} conda-forge {{package}}

Install a single package into the currently active conda environment using channel conda-forge:

conda install {{[-c|--channel]}} conda-forge --override-channels {{package}}

Install a single package into the currently active conda environment using channel conda-forge and ignoring other channels:

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git clone

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Clone an existing repository.

git clone {{remote_repository_location}} {{path/to/directory}}

Clone an existing repository into a new directory (the default directory is the repository name):

git clone --recursive {{remote_repository_location}}

Clone an existing repository and its submodules:

git clone {{[-n|--no-checkout]}} {{remote_repository_location}}

Clone only the `.git` directory of an existing repository:

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pip install

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Install Python packages.

pip install {{package1 package2 ...}}

Install one or more packages:

pip install {{package1 package2 ...}} {{[-U|--upgrade]}}

Upgrade all specified packages to the latest version, installing any that are not already present:

pip install {{package}}=={{version}}

Install a specific version of a package:

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python

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Python language interpreter.

python

Start a REPL (interactive shell):

python {{path/to/file.py}}

Execute a specific Python file:

python -i {{path/to/file.py}}

Execute a specific Python file and start a REPL:

// repository documentation