Projects in Awesome Lists tagged with probabilistic-machine-learning
A curated list of projects in awesome lists tagged with probabilistic-machine-learning .
https://github.com/shivammehta25/Matcha-TTS
[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
deep-learning diffusion-model diffusion-models flow-matching machine-learning non-autoregressive probabilistic probabilistic-machine-learning text-to-speech tts tts-api tts-engines
Last synced: 07 May 2025
https://github.com/naver-ai/pcme
Official Pytorch implementation of "Probabilistic Cross-Modal Embedding" (CVPR 2021)
cross-modal-retrieval cvpr2021 probabilistic-embeddings probabilistic-machine-learning
Last synced: 06 Apr 2026
https://github.com/ModelOriented/survex
Explainable Machine Learning in Survival Analysis
biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai
Last synced: 05 May 2025
https://github.com/soran-ghaderi/torchebm
🍓 Build and train energy-based and diffusion models in PyTorch ⚡.
contrastive-divergence cuda diffusion-models energy-based-model equilibrium equilibrium-matching equilibrium-modeling generative-ai hamiltonian hamiltonian-monte-carlo langevin-dynamics noise-contrastive-estimation probabilistic-machine-learning reasoning sampling-methods score-matching variational-inference
Last synced: 01 Jun 2026
https://github.com/naver-ai/pcmepp
Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)
cross-modal-retrieval iclr2024 probabilistic-embeddings probabilistic-machine-learning
Last synced: 06 Apr 2026
https://github.com/acerbilab/amortized-conditioning-engine
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)
bayesian-optimization meta-learning neural-processes probabilistic-machine-learning simulation-based-inference
Last synced: 07 Mar 2026
https://github.com/inferno-ml/inferno
Bayesian Deep Learning in PyTorch
deep-learning probabilistic-machine-learning pytorch
Last synced: 14 Jan 2026
https://github.com/tallamjr/tubingen-probabilistic-ml
Material for Philipp Hennig's course: Probabilistic Machine Learning, at Tubingen
probabilistic-machine-learning probabilistic-programming
Last synced: 09 Sep 2025
https://github.com/cbg-ethz/jnotype
Probabilistic modeling of high-dimensional binary data in JAX
bayesian-statistics cancer-genomics clustering ideal-point-estimation jax probabilistic-machine-learning unsupervised-learning
Last synced: 28 Apr 2025
https://github.com/crherlihy/prob_fair_rmab
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting (KDD 2023)
constrained-optimization fairness-ai fairness-bandits healthcare-ml indexability mabs probabilistic-machine-learning resource-allocation-algorithm restless-bandits rmab
Last synced: 02 Apr 2025
https://github.com/zcemycl/mlreading-hub
List of casual implementations of machine learning models from scratch.
computer-vision machine-learning natural-language-processing probabilistic-machine-learning recommender-system reinforcement-learning
Last synced: 09 Sep 2025
https://github.com/jmetrikat/pml-ss24
Exercises in the subject "Probabilistic Machine Learning" at Hasso Plattner Institute.
bayesian-networks julia probabilistic-machine-learning trueskill
Last synced: 03 May 2026
https://github.com/pointer2alvee/machine-learning-algorithms-scratch
Core Machine Learning concepts , algorithms & maths implemented completely from scratch using Python & numpy only.
machine-learning-algorithms numpy pandas probabilistic-machine-learning python statistical-models
Last synced: 07 May 2026
