ofirpress

aider

aider is AI pair programming in your terminal

lectures

Oxford Deep NLP 2017 course

SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

gpustat

📊 A simple command-line utility for querying and monitoring GPU status

SWE-bench

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

evalplus

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023

Agentless

Agentless🐱: an agentless approach to automatically solve software development problems

RecurrentHighwayNetworks

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

ContentDisentanglement

PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"

CiteME

CiteME is a benchmark designed to test the abilities of language models in finding papers that are cited in scientific texts.

bitbop

Run `ssh bitbop.io`, get a GPU dev machine! 🤖

test-repo