Nostril
Nostril: A nonsense string evaluator written in Python - Published in JOSS (2018)
pocoMC
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology - Published in JOSS (2022)
approxposterior
approxposterior: Approximate Posterior Distributions in Python - Published in JOSS (2018)
stardate
stardate: Combining dating methods for better stellar ages - Published in JOSS (2019)
MM-PoE
MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models - Published in JOSS (2025)
Correlation Trait Loci (CTL) mapping
Correlation Trait Loci (CTL) mapping: phenotype network inference subject to genotype - Published in JOSS (2016)
https://github.com/hpcaitech/colossalai
Making large AI models cheaper, faster and more accessible
IncrementalInference
Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.
oumi
Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!
kglab
Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.
emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
inference
Turn any computer or edge device into a command center for your computer vision projects.
unitvelo
UniTVelo, Temporally Unified RNA Velocity for single cell trajectory inference
privacy-meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
inferelator
Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.
pytriton
PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
optimum
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
triton-model-navigator
Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.
planet
For inferring ancestry, gestational age, cell type proportions, and preeclampsia status from placental DNA methylation array data
https://github.com/mpes-kit/fuller
Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data
blocklength
R package with a set of functions to select the optimal block-length for a dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing (1995) cross-validation method and the Politis and White (2004) Spectral Density Plug-in method.
symmetry-cli
The client for the Symmetry peer-to-peer inference network. Enabling users to connect with each other, share computational resources, and collect valuable machine learning data.
https://github.com/aeternalis-ingenium/anomalytics
The ultimate anomaly detection and its analytics.
https://github.com/superduper-io/superduper
Superduper: End-to-end framework for building custom AI applications and agents.
dbnr
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
https://github.com/awslabs/multi-model-server
Multi Model Server is a tool for serving neural net models for inference
monai-deploy
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
arboreto
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
btergm
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
aifororcas-livesystem
Real-time AI-assisted killer whale notification system (model and moderator portal) :star:
https://github.com/bytedance/lightseq
LightSeq: A High Performance Library for Sequence Processing and Generation
https://github.com/rsquaredacademy/inferr
Parametric and non-parametric statistical tests
https://github.com/bytedance/bytetransformer
optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052
https://github.com/szymonmaszke/torchlayers
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
https://github.com/cdcgov/pyrenew-flu-light
A replication in Python and PyRenew of a renewal model written in Epidemia for forecasting influenza hospital admissions.
https://github.com/airvitap/diffscaler
A Novel Approach to Video Generation model and their Archives
https://github.com/awslabs/mlmax
Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.
RAIDS
Accurate and robust inference of genetic ancestry from cancer-derived molecular data across genomic platforms
core-periphery-hypergraphs
[KDD 2022] Official Code Release for "Core-periphery Models for Hypergraphs"
https://github.com/amberlee2427/isoflux
A fast, lightweight, isochrone inference package
klmbr
klmbr - a prompt pre-processing technique to break through the barrier of entropy while generating text with LLMs
machine-learning-process
Machine Learning Process using the EO Application Package
macchiato
:atom_symbol::robot: Data-driven nearest neighbor models for predicting experimental results on silicon lithium-ion battery anodes
ReactiveMP
High-performance reactive message-passing based Bayesian inference engine
https://github.com/berkeleylab/fiats
A deep learning library for use in high-performance computing applications in modern Fortran
data-and-design-core
Code developed by the EFDC Data and Design Core team to support mental health research.
generalizednotationnotation
sacro-ml
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
VersatileHDPMixtureModels
Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"
https://github.com/google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
prooftrees
Exploration of interactive inference rule application/proofs using a unification approach.
https://github.com/bozenne/lavasearch2
Tools for model specification in the latent variable framework (add-on for the lava package)
django2pydantic
Django2pydantic is the most complete library for converting Django ORM models to Pydantic models
server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.