madaan / minimal-text-diffusionLinks
A minimal implementation of diffusion models for text generation
☆407Updated 2 years ago
Alternatives and similar repositories for minimal-text-diffusion
Users that are interested in minimal-text-diffusion are comparing it to the libraries listed below
Sorting:
- ☆148Updated last year
- Implementation of Self-conditioned Embedding Diffusion for Text Generation☆39Updated 3 years ago
- Diffusion-LM☆1,213Updated last year
- [NeurIPS 2024] Simple and Effective Masked Diffusion Language Model☆598Updated 3 months ago
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆687Updated last year
- [ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models☆822Updated last year
- ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models☆339Updated last year
- Reparameterized Discrete Diffusion Models for Text Generation☆104Updated 2 years ago
- Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch☆375Updated last year
- ☆111Updated 2 years ago
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆224Updated last year
- Code for the ALiBi method for transformer language models (ICLR 2022)☆547Updated 2 years ago
- The official codebase for "Empowering Diffusion Models on the Embedding Space for Text Generation" (NAACL 2024)☆55Updated last year
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆231Updated last year
- Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control☆76Updated 3 years ago
- Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".☆248Updated this week
- A simple implimentation of Bayesian Flow Networks (BFN)☆240Updated 2 years ago
- Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"☆353Updated last year
- Sequence modeling with Mega.☆302Updated 2 years ago
- Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch☆355Updated 2 years ago
- A curated list for awesome discrete diffusion models resources.☆524Updated 4 months ago
- ☆185Updated last year
- Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch☆422Updated last year
- DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)☆54Updated 5 months ago
- Minimal Implementation of a D3PM in pytorch☆281Updated last year
- Recurrent Memory Transformer☆154Updated 2 years ago
- An implementation of masked language modeling for Pytorch, made as concise and simple as possible☆179Updated 2 years ago
- Understand and test language model architectures on synthetic tasks.☆248Updated 3 months ago
- Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch☆655Updated last year
- minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.☆490Updated 2 years ago