Jay Alammar

ecco. Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

jalammar.github.io. Build a Jekyll blog in minutes, without touching the command line.

simpleTensorFlowClassificationExample. SImple notebook and dataset to demonstrate classification in TensorFlow

deep-learning. Repo for the Deep Learning Nanodegree Foundations program.

pandas-intro. Basic notebook introducing pandas functionality

embeddings. Jupyter Notebook

eccojs. Visualization components for ecco.ml

tf-stanford-tutorials. This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

matplotlib. matplotlib: plotting with Python

nmt. TensorFlow Neural Machine Translation Tutorial

dspy. Stanford DSPy: The framework for programming—not prompting—foundation models

Text-Summarization-with-Amazon-Reviews. A seq2seq model that can generate summaries from fine food reviews on Amazon.

ml. Jupyter Notebook

SWE-agent. SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

NanodegreeProject. Jupyter Notebook

trax. Trax — Deep Learning with Clear Code and Speed

tensorflow. Open source software library for numerical computation using data flow graphs.

VisEval. Python

verl. verl: Volcano Engine Reinforcement Learning for LLMs

WhaleFM. Whale FM archive, data

checkout-one-time-payments. Use Checkout to quickly collect one-time payments.

pretty-midi. Utility functions for handling MIDI data in a nice/intuitive way.