Alternatives and similar repositories for Wdss-UCLdss_research

Users that are interested in Wdss-UCLdss_research are comparing it to the libraries listed below

• dobriban / Principles-of-AI-LLMs
  Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…
  ☆34Updated last week
• vsimkus / pmr2024-vae
  An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's cours…
  ☆8Updated last year
• dtsip / in-context-learning
  ☆232Updated last year
• chenw20 / SGPA
  Example code of Sparse Gaussian Process Attention (ICLR 2023)
  ☆24Updated 11 months ago
• Phutoast / UCL-CSML-Notes
  My lecture notes during times at UCL.
  ☆31Updated 3 years ago
• markvdw / probinf-spring-2023
  Probabilistic Inference Course, Department of Computing, Imperial College London, Spring 2023.
  ☆15Updated 5 months ago
• AvivBick / awesome-ssm-ml
  Reading list for research topics in state-space models
  ☆298Updated 2 weeks ago
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆52Updated last year
• angusphillips / particle_denoising_diffusion_sampler
  Code repository for Particle Denoising Diffusion Sampler
  ☆14Updated last year
• cambridge-mlg / mphil-intro-module
  Jupyter notebooks on inference, regression and classification for MPhil students
  ☆49Updated 8 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year
• ADimoska / SOMASExtended
  ☆8Updated 6 months ago
• tranbahien / you-need-a-good-prior
  All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
  ☆20Updated 3 years ago
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆380Updated 3 weeks ago
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆34Updated last year
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated 2 years ago
• louaaron / Score-Entropy-Discrete-Diffusion
  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
  ☆593Updated last year
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆301Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆52Updated 3 weeks ago
• saprmarks / dictionary_learning
  ☆308Updated last month
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated 10 months ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆66Updated last month
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆35Updated 6 months ago
• tengyuma / cs229m_notes
  ☆229Updated 2 years ago
• baegwangbin / MLMI
  MPhil Machine Learning and Machine Intelligence @ University of Cambridge
  ☆48Updated 6 years ago
• xinyangATK / GenHutch-plus-plus
  The official implementation of "Optimal Stochastic Trace Estimation in Generative Modeling (AISTATS 2025)"
  ☆20Updated 3 months ago
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆156Updated last week
• Dakingrai / awesome-mechanistic-interpretability-lm-papers
  ☆165Updated 7 months ago
• spdes / computational-sde-intro-lecture
  Lecture "A computational introduction to stochastic differential equations".
  ☆22Updated 2 years ago
• GFNOrg / gfn-lm-tuning
  ☆180Updated last year