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Fundamental AI Research (FAIR) at Meta
- Mountain View, CA
- https://www.linkedin.com/in/brianohoro/
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Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
A system for quickly generating training data with weak supervision
A community-maintained Python framework for creating mathematical animations.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
A complete computer science study plan to become a software engineer.
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Examples and guides for using the OpenAI API
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
A website that will curate recently-asked interview questions from FAANG+. Currently inactive. Check out: https://github.com/ykdojo/OpenStream
All Algorithms implemented in Python
Code from the mCoding sample videos
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Companion repository to Paul Azunre's "Transfer Learning for Natural Language Processing" book
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"