☆31May 11, 2026Updated 5 months ago
Alternatives and similar repositories for diamond_maps
Users that are interested in diamond_maps are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆37Oct 9, 2025Updated last year
- Official implementation of the paper: Simulation-Free Training of Neural ODEs on Paired Data (NeurIPS 2024)☆14Oct 31, 2024Updated last year
- Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching☆76May 30, 2025Updated last year
- ☆90Aug 27, 2026Updated last month
- [ICLR 2026] Official code for PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models☆18Jul 3, 2026Updated 3 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official Codebase for Flow Map Language Models: One-step Language Modeling via Continuous Denoising (NeurIPS 2026)☆179Oct 4, 2026Updated 2 weeks ago
- Official codebase for the paper "How to build a consistency model: Learning flow maps via self-distillation" (NeurIPS 2025).☆151Oct 8, 2025Updated last year
- Official Implementation of "Meta Flow Maps enable scalable reward alignment"☆48May 14, 2026Updated 5 months ago
- This is the code implementation for the paper, d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation☆17Updated this week
- Official code for "Stitched Value Model for Diffusion Alignment"☆32Updated this week
- Official repository of Alignment-Guided Score Matching (AGSM) - 2026ICML Spotlight☆36Jun 21, 2026Updated 4 months ago
- ☆17Jun 19, 2026Updated 4 months ago
- Official JAX implementation of Riemannian Mean Flow for flow map learning on manifolds.☆26Oct 8, 2026Updated 2 weeks ago
- ☆20May 21, 2026Updated 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for the paper Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities.☆38Sep 5, 2026Updated last month
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆139Jul 24, 2025Updated last year
- 𝕊-FLM: Language Modeling with Hyperspherical Flows☆36Aug 6, 2026Updated 2 months ago
- Official implementation of Categorical Flow Maps on text.☆70Feb 16, 2026Updated 8 months ago
- Official implementation of NEXT: neural external torque estimation for commodity robot arms.☆27Sep 4, 2026Updated last month
- [NeurIPS 2025, Spotlight] Official code for Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score-Based Genera…☆19Feb 3, 2026Updated 8 months ago
- ☆14Mar 11, 2025Updated last year
- The first continuous diffusion language model that rivals discrete counterparts on standard language modeling benchmarks like LM1B and Op…☆96Jun 14, 2026Updated 4 months ago
- Environment for developing substructure-aware protein models☆16Mar 26, 2026Updated 6 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for “Enhancing Diffusion-Based Sampling with Molecular Collective Variables"☆24Dec 17, 2025Updated 10 months ago
- Code to reproduce the results in "Conditional score-based diffusion models for Bayesian inference in infinite dimensions", NeurIPS 2023☆13Oct 18, 2025Updated last year
- A comprehensive JAX/NNX library for diffusion and flow matching generative algorithms, featuring DiT (Diffusion Transformer) and its vari…☆155Oct 16, 2025Updated last year
- Code for the paper: Probabilistic Forecasting with Stochastic Interpolants and Follmer Processes (generative AI for forecasting)☆20May 17, 2026Updated 5 months ago
- Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"☆37Apr 18, 2025Updated last year
- Generative Modeling via Drifting in MLX☆43Feb 6, 2026Updated 8 months ago
- Official implementation for Diffusion Alignment as Sampling (DAS), ICLR'25, Spotlight☆69Feb 12, 2025Updated last year
- [NeurIPS 2025] Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking☆32Oct 6, 2026Updated 2 weeks ago
- Pytorch Implmentation of Diffusion Bridges in Function Spaces (DBFS), NeurIPS 2024☆10Nov 21, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Evaluation codes and data for GenEval2☆92Jan 8, 2026Updated 9 months ago
- ☆13Sep 13, 2023Updated 3 years ago
- Constrained Diffusion with Trust Sampling☆12Dec 18, 2024Updated last year
- ☆63Apr 7, 2026Updated 6 months ago
- [ICML 2026] Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding☆27Aug 9, 2026Updated 2 months ago
- Learn from Your Mistakes: Self-Correcting Masked Diffusion Models☆16Jun 25, 2026Updated 3 months ago
- Lowering PyTorch's Memory Consumption for Selective Differentiation☆12Aug 29, 2024Updated 2 years ago