Ecosyste.ms: Awesome
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Projects in Awesome Lists by eugeneyan
A curated list of projects in awesome lists by eugeneyan .
https://github.com/eugeneyan/applied-ml
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
applied-data-science applied-machine-learning computer-vision data-discovery data-engineering data-quality data-science deep-learning machine-learning natural-language-processing production recsys reinforcement-learning search
Last synced: 13 Oct 2024
https://github.com/eugeneyan/open-llms
π A list of open LLMs available for commercial use.
commercial large-language-models llm llms
Last synced: 15 Oct 2024
https://github.com/eugeneyan/ml-surveys
π Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
computer-vision deep-learning embeddings machine-learning nlp recommender-system reinforcement-learning survey
Last synced: 14 Oct 2024
https://github.com/eugeneyan/ml-design-docs
π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
design design-docs machine-learning
Last synced: 08 Nov 2024
https://github.com/eugeneyan/obsidian-copilot
π€ A prototype assistant for writing and thinking
assistant generative-ai large-language-models llm obsidian-plugin retrieval-augmented-generation
Last synced: 08 Nov 2024
https://github.com/eugeneyan/1-on-1s
π± 1-on-1 questions and resources from my time as a manager.
Last synced: 08 Nov 2024
https://github.com/eugeneyan/testing-ml
π Minimal examples of machine learning tests for implementation, behaviour, and performance.
machine-learning model-evaluation testing
Last synced: 08 Nov 2024
https://github.com/eugeneyan/applyingml
π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.
applied-machine-learning gatsby machine-learning
Last synced: 08 Nov 2024
https://github.com/eugeneyan/papermill-mlflow
π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
experimentation jupyter mlflow papermill python
Last synced: 08 Nov 2024
https://github.com/eugeneyan/llm-paper-notes
Notes from the Latent Space paper club. Follow along or start your own!
Last synced: 08 Nov 2024
https://github.com/eugeneyan/python-collab-template
π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
coverage github-actions hacktoberfest linting makefile python type-checking unit-testing
Last synced: 08 Nov 2024
https://github.com/eugeneyan/recsys-nlp-graph
π Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
graph matrix-factorization nlp pytorch recommender-system
Last synced: 08 Nov 2024
https://github.com/eugeneyan/discord-llm
Experimenting with LLMs to Research, Reflect, and Plan (LLM assistants, retrieval, and Discord integration)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/poc-docker-template
Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.
Last synced: 08 Nov 2024
https://github.com/eugeneyan/nocode-ml
π End-to-end machine learning; "no code" required!
deployment joke machine-learning nocode workflow
Last synced: 08 Nov 2024
https://github.com/eugeneyan/deep-rl
Repository for deep reinforcement learning with OpenAI
Last synced: 08 Nov 2024
https://github.com/eugeneyan/raspberry-llm
Calling LLM APIs on a Raspberry Pi for lulz
Last synced: 08 Nov 2024
https://github.com/eugeneyan/kaggle_springleaf
Code for Kaggle Springleaf Email Prediction Challenge
Last synced: 08 Nov 2024
https://github.com/eugeneyan/computational-thinking-and-data-science
edX: Introduction to Computational Thinking and Data Science (Oct 2014)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/mining-massive-datasets
Coursera: Mining Massive Datasets (Sep 2014)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/statistical-learning
Stanford OpenX: Introduction to Statistical Learning
Last synced: 08 Nov 2024
https://github.com/eugeneyan/time-series-analysis
Simple forecasting with Regression Model
Last synced: 08 Nov 2024
https://github.com/eugeneyan/kaggle_titanic
Code for Kaggle Titanic Challenge (and other learning)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/statistical-inference
This repository contains the lab assignments for the facilitation of John Hopkins University' Coursera MOOC on Statistical Inference.
Last synced: 08 Nov 2024
https://github.com/eugeneyan/getting-and-cleaning-data
Coursera: Getting and Cleaning Data (May 2014)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/twitter-sma
Twitter Streaming and Analysis with Python and R
Last synced: 08 Nov 2024
https://github.com/eugeneyan/data-analysis-and-statistical-inference-project
Coursera: Data Analysis & Statistical Inference Project (Feb 2014)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/kaggle_otto
Code for Kaggle Otto Production Classification Challenge
Last synced: 08 Nov 2024
https://github.com/eugeneyan/interactive-programming-in-python
Coursera: Interactive Programming in Python (Apr 2014)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/dksg-home
Sharing my R script used in the DKSG DataLearn for home
Last synced: 08 Nov 2024
https://github.com/eugeneyan/demand-forecasting
Prototyping various forecasting techniques
Last synced: 08 Nov 2024
https://github.com/eugeneyan/computer-science-and-programming-in-python
edX: Introduction to Computer Science and Programming in Python (July 2014)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/r-programming
Coursera: R Programming (May 2014)
Last synced: 08 Nov 2024
https://github.com/eugeneyan/machine-learning
Coursera: Machine Learning (Aug 2014)
Last synced: 08 Nov 2024