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Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
What would you do with 1000 H100s...
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
PyTorch Implementation of 'ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks' in PyTorch
😎 Awesome lists about all kinds of interesting topics
Implementations of various Deep Learning models in PyTorch and TensorFlow.
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut …
A collection of various deep learning architectures, models, and tips
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
A resource for learning about Machine learning & Deep Learning
Natural Language Processing Best Practices & Examples
Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .
All course materials for the Zero to Mastery Machine Learning and Data Science course.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Self-exploratory Streamlit app to know more about palmer penguins.
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest …
Trading bot created using stable baselines3.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
ITMO Academy: pilot course https://codeforces.com/edu/course/2