Kaffaljidhmah2 / RCGDM
☆10Updated 4 months ago
Related projects: ⓘ
- Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…☆67Updated this week
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction☆21Updated 10 months ago
- ☆14Updated 11 months ago
- NF-Layers for constructing neural functionals.☆72Updated 8 months ago
- Score-based generative models for compact manifolds☆99Updated 8 months ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆42Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆73Updated last year
- Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24☆20Updated 3 weeks ago
- ☆31Updated 2 months ago
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆38Updated 7 months ago
- A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)☆40Updated last year
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆20Updated 11 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆63Updated last month
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)☆37Updated last year
- Generative Flow Networks - GFlowNet☆161Updated 3 weeks ago
- Benchmarks for Model-Based Optimization☆80Updated 4 months ago
- GFlowNet library☆213Updated 3 weeks ago
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆10Updated last year
- ☆39Updated 3 months ago
- ☆25Updated last year
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆30Updated 5 months ago
- ☆23Updated 5 months ago
- ☆44Updated 2 years ago
- Baselines for Model-Based Optimization☆49Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆81Updated last year
- Code for the paper "Learning Options via Compression" at NeurIPS 2022☆22Updated last year
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆24Updated 4 months ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆81Updated 10 months ago
- ☆14Updated last year
- [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)☆352Updated 6 months ago