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attend-and-excite

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

bitplayers

data website

causalmediationanalysis

Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"

dash-recipes

A collection of scripts and examples created while answering questions from the greater Dash community

ddsp_pytorch

Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

diffusion-lm

Diffusion-LM

fastai

The fastai deep learning library, plus lessons and tutorials

ff-layers

The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Levy. EMNLP, 2021.

irony

is this a joke? query GPT-2 to find out

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

lectures

Material for cuda-mode lectures

lm-debugger

The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.

musiclm-pytorch

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

rome

Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT

rwkv-lm

RWKV v2 is a RNN with transformer-level performance. It can be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

sparsecodinggpt

sportsbot

styleclip

superposition

Code associated to papers on superposition (in ML interpretability)

transformerlens

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transformervis