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nashid's Projects

academic-writing icon academic-writing

A Stanford writing course to learn how to write scientific articles in a clear, concise, and effective way

active-prompt icon active-prompt

Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"

adafest icon adafest

A Data-driven Approach For Estimating/Evaluating Software Testability

agent-mimir icon agent-mimir

a command line chat client and "agent" manager for LLM's like Chat-GPT that provides the models with access to tooling and a framework with which accomplish multi-step tasks.

agentgpt icon agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

ai-cli icon ai-cli

Get answers for CLI commands from GPT3 right from your terminal

ai-functions icon ai-functions

AI-Powered Function Magic: Never code again with GPT models!

aifix4seccode icon aifix4seccode

An automated code repair framework for fixing vulnerabilities

aiparty icon aiparty

A way to easy write complex promt-chains, without(or with minimal) code

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

alicemind icon alicemind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

all_packages icon all_packages

The Python Package Index (PyPI) contains over 300,000 Python packages. Need a Python library but don't want to search through all the options? Search no further! all_packages is a Python script that installs every package on PyPI.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

ampligraph icon ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

anti-copy-paster icon anti-copy-paster

A plugin for IntelliJ IDEA for extracting code duplicates into a new method as soon as they are introduced.

apibench icon apibench

APIBench is a benchmark for evaluating the performance of API recommendation approaches released in the paper "Revisiting, Benchmarking and Exploring APIRecommendation: How Far Are We?".

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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