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University of Waterloo
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An interactive composition for networked ensemble
💫 Industrial-strength Natural Language Processing (NLP) in Python
A conditional GAN built in Pytorch
Zero-shot convolutional counting of sound events within a long audio clip, made for MAIS Hacks
Sonification of the Llama-3.2-1B-Instruct model
An accurate language model is a high-compression, lossless data compressor
Working neural network optimization written in the DrRacket teaching language from CS 135
Official Implementation of SIPIT from "Language Models are Injective and Hence Invertible" (ICLR 2026) 🏆
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Unified access to Large Language Model modules using NNsight
Code for 'The Information Geometry of Softmax: Probing and Steering' (ICML 2026)
Cleaned up code for reproducing our paper "The Quantization Model of Neural Scaling"
Codebase for testing whether hidden states of neural networks encode discrete structures.
Tools for understanding how transformer predictions are built layer-by-layer
Experiments on continuous LMs.
Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Chordonomicon: A Dataset of 666,000 Chord Progressions
Example of Dense Associative Memory training on MNIST