100+ LLM interview questions with answers.

The official github repo for "Training Optimal Large Diffusion Language Models", the first-ever large-scale diffusion language models scaling law..

GPU-optimized framework for training diffusion language models at any scale. The backend of Quokka, Super Data Learners, and OpenMoE 2 training.

[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model

Official Repository for NeurIPS 2025 Paper: Next Semantic Scale Prediction via Hierarchical Diffusion Language Models

Code accompanying the paper "Generalized Interpolating Discrete Diffusion"

Code for TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

[ICML 2025] The Diffusion Duality

Official Jax Implementation of MD4 Masked Diffusion Models

Python package for 3D geometry CAD/BIM/CAM

A projection-based framework for gradient-free and parallel learning

Official PyTorch implementation for "Effective and Efficient Masked Image Generation Models"

[NeurIPS 2025 D&B] Open-source Multi-agent Poster Generation from Papers

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Toolkit for linearizing PDFs for LLM datasets/training

The official implementation of "[MASK] is All You Need"

Official pytorch implement of paper InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization

Official Implementation for the paper "d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning"

Interactive visualizations of the geometric intuition behind diffusion models.

Official PyTorch implementation for "Large Language Diffusion Models"

Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification

A minimum example of aligning language models with RLHF similar to ChatGPT