Stars
Master programming by recreating your favorite technologies from scratch.
proof of concept prototype for generating and querying against an ever-expanding knowledge graph with ai
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
a lightweight cms self-hosted on cloudflare, for podcasts, blogs, photos, videos, documents, and curated urls.
A sentence segmenter that actually works!
https://huyenchip.com/ml-interviews-book/
Simple read-only comand-line interface to your Things 3 database
An opinionated, actionable guide for software engineering interviews.
Learn ML engineering for free in 4 months! Register here ππΌ
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (β¦
Fit interpretable models. Explain blackbox machine learning.
Approaching (Almost) Any Machine Learning Problem
All Algorithms implemented in Python
A python library for user-friendly forecasting and anomaly detection on time series.
Insert or update python docstrings; an improved docblockr for python
Chrome extension to return youtube dislikes
A collection of the best open data sets and open-source tools for data science
Modin: Scale your Pandas workflows by changing a single line of code
Autocompletion with Deep Learning on Jupyter Notebook