Obs-Causal-Q-Network

(★ 27)

AAAI 22 - Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks

Owner Repos

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IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

Jupyter Notebook
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ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification

TypeScript
awesome-neural-reprogramming-prompting ★ 40

A curated list of awesome adversarial reprogramming and input prompting methods for neural networks since 2022

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awesome-deep-causal-learning ★ 18

A curated list of awesome deep causal learning methods since 2018
EyeNet2 ★ 17

ICML Workshop 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

Python
Interspeech23-Tutorial-Para-Efficient-Cross-Modal-Tutorial ★ 15

Interspeech Tutorial - Resource Efficient and Cross-Modal Learning Toward Foundation Modeling

File Explorer

ZIP Download
  • 0-cartpole-main.py
  • 1-banana-navigator-main.py
  • AAAI-12550-YangCH-pre.pdf
  • eda.py
  • obs-causal-q-conda.yml
  • pixel_tool.py
  • README.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.

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Example

Command Glossary

Commands referenced in this DOCs, explained below.

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conda env

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Manage conda environments.

conda env create {{[-f|--file]}} {{path/to/file}}

Create an environment from an environment file (YAML, TXT, etc.):

conda env remove {{[-n|--name]}} {{environment_name}}

Delete an environment and everything in it:

conda env update {{[-f|--file]}} {{path/to/file}} --prune

Update an environment based on an environment file:

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conda

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Package, dependency, and environment management for any programming language.
Some subcommands such as `create` have their own usage documentation.
See also: `mamba`.

conda create {{[-n|--name]}} {{environment_name}} {{python=3.9 matplotlib}}

Create a new environment, installing named packages into it:

conda info {{[-e|--envs]}}

List all environments:

conda activate {{environment_name}}

Activate an environment:

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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