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A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with…
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
LLMCode is a tool designed to streamline code documentation using Language Models (LLMs).
Grammars written for ANTLR v4; expectation that the grammars are free of actions.
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
ProLeap COBOL • Analyze, Execute & Transform COBOL
Awesome-LLM: a curated list of Large Language Model
Code Repository for Machine Learning with PyTorch and Scikit-Learn
My Notes from Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Repository containing notebooks of my posts on Medium
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
This is a solution that allows you to offload a resource intensive Monte-Carlo simulation to more powerful machines on Amazon SageMaker, while still being able to develop your scripts in your RStud…
Customers using R can run simulation and machine learning securely and at scale with Amazon SageMaker while also reducing the cost of development by using the fully elastic resources in the cloud. …
One shot learning (image recognition) on 10,856 unique Yugioh cards
Algorithmic Trading using Sentiment Analysis on News Articles
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
The "Python Machine Learning (3rd edition)" book code repository
Code for regression model from Kissler, Tedijanto et al. 2020.
Fit Stochastic Epidemic Models via Bayesian Data Augmentation
Domain-Specific Modeling for Epidemiology