Open-source alternatives to DiffuSeq

Flow Map Language Models: One-step Language Modeling via Continuous Denoising

This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum computing, and large-scale scientific data analysis. It provides foundational frameworks for developing complex algorithmic systems, offering the necessary infrastructure for distributed training, computational graph execution, and high-performance model development. The project distinguishes itself by integrating specialized research domains with robust, privacy-preserving methodologies. It supports diverse scientific discovery through tools for quantum simulation, physics-informed

This is the official implementation of Pix2Seq in Tensorflow 2 with efficient TPUs/GPUs support. The original Pix2Seq code aims to be a general framework that turns RGB pixels into semantically meaningful sequences. We now extend it to be a generic codebase, with task-centric organization that…

Source code of paper: Composable Text Controls in Latent Space with ODEs

Official implementation of TESS 2. TESS 2 is a state-of-the-art diffusion language model created by adapting existing pretrained autoregressive models to a diffusion paradigm. For more details, please check out our paper and model checkpoints on Hugging Face.

This is the official code release for the ACL Findings 2024 paper:

This is the official code release for

By Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov

This is the official JAX implementation for the paper ELF: Embedded Language Flows. This code is written and tested on TPUs. A PyTorch version is available on the pytorch_elf branch.

Code repository for the paper Think While You Generate: Discrete Diffusion with Planned Denoising, by Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi Jaakkola, Rafael Gómez-Bombarelli. Tweet and video for the main idea.

This repo contains a PyTorch implementation for the paper Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution by Aaron Lou, Chenlin Meng and Stefano Ermon.

Abstract: This paper presents the Text Encoding Diffusion Model (TEncDM), a novel approach to diffusion modeling that operates in the space of pre-trained language model encodings. In contrast to traditionally used embeddings, encodings integrate contextual information. In our approach, we also…

Yun-Yen Chuang · Hung-Min Hsu · Kevin Lin · Chen-Sheng Gu · Ling-Zhen Li · Ray-I Chang · Hung-yi Lee Slide Poster

Microsoft Open Source Code of Conduct

This repo contains an official PyTorch implementation for the paper Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data by Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li and Chongxuan Li.

By Yuxin Chen, Chumeng Liang, Hangke Sui*, Ruihan Guo, Chaoran Cheng, Jiaxuan You, Ge Liu.

🌐 Project Page

Official Codebase for "InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation"

This repo contains the code for the Fill-in Language Model (FiLM) described in the paper FiLM: Fill-in Language Models for Any Order Generation (Shen et al., 2023).

We present a demo of SSD-LM (Semi-autoregressive Simplex-based Diffusion Language Model) in Google Colab here!

Diffusion-LM

This repository contains the official implementation of paper DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises (TACL & ACL2024 Oral).

This is the official repo for the paper SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Paper Code

We introduce Text-to-text Self-conditioned Simplex Diffusion (TESS), a text diffusion model that is fully non-autoregressive, employs a new form of self-conditioning, and applies the diffusion process on the logit simplex space rather than the typical learned embedding space.