Zasder3/train-CLIP
A PyTorch Lightning solution to training OpenAI's CLIP from scratch.
Undergrad @ UC Berkeley
A PyTorch Lightning solution to training OpenAI's CLIP from scratch.
Train Sparse Autoencoders (SAEs) using PyTorch.
Doing style transfer with linguistic features using OpenAI's CLIP.
Official code repository for Latent Neural Differential Equations for Video Generation.
An open source implementation of CLIP.
A framework for few-shot evaluation of language models.
Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
Automatically create Anki cards using OpenAI's API in the terminal.
NanoGPT (124M) in 3 minutes
Transform entire codebases into Anki flashcards.
Studying influence functions in biological Language Models.
Config files for my GitHub profile.
Download a local neighborhood of samples from LAION.
A tiny TENSOR-valued autograd engine and a neural net library on top of it with PyTorch-like API
OpenAI CLIP text encoders for multiple languages!
PyTorch: Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
Here is our introduction to basic data science
sentiment analysis datasets
A project designed to analyze the sentiment of a news article or title