Reverse Dependencies of llvmlite
The following projects have a declared dependency on llvmlite:
- numba-pixie — Creates performance portable libraries with embedded source representations.
- numbsql — JITted SQLite user-defined scalar and aggregate functions
- numpy-quaternion — Add a quaternion dtype to NumPy
- nwb4fp — Description of my package
- nwb4fprobe — Description of my package
- Ocrversion1 — no summary
- Ocrversion2 — no summary
- odd-collector — ODD Collector
- openclio — OpenCL Input/Output
- openpy-fxts — Various functions and classes for time series forecasting with Machine and Deep Learning
- optga — Framework to find pareto-optimum inputs of your machine learning models
- optoanalysis — Python package with functions for data analysis
- paddle-parakeet — Speech synthesis tools and models based on Paddlepaddle
- palma — no summary
- pardon — The Data Transformation and Machine Learning Accelerator
- paule — paule implements the Predictive Articulatory speech synthesis model Utilizing Lexical Embeddings (PAULE), which is a control model for the articulatory speech synthesizer VocalTractLab (VTL).
- pcser — protein corona stealth effect prediction
- peelml — Peel away the pain of ml deployment
- phenonaut — A toolkit for multiomic phenotypic space exploration.
- phonon-gas-model — Free energy calculation using phonon gas model
- picca — Package for Igm Cosmological-Correlations Analyses
- picked-group-fdr — Scalable, accurate and sensitive protein group FDRs for large-scale mass spectrometry experiments
- pre-ai-python — Microsoft AI Python Package
- PREAGeoFuns — A package for geo tools used to map card score
- protosym — ProtoSym
- psyneulink — A block modeling system for cognitive neuroscience
- PTArcade — PTArcade provides an interface to the ENTERPRISE analysis suite and allows for simple implementation of new-physics searches in PTA data.
- py-replay-bg — ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.
- pycyclops — Framework for healthcare ML implementation
- pydrift — How do we measure the degradation of a machine learning process? Why does the performance of our predictive models decrease? Maybe it is that a data source has changed (one or more variables) or maybe what changes is the relationship of these variables with the target we want to predict. `pydrift` tries to facilitate this task to the data scientist, performing this kind of checks and somehow measuring that degradation.
- pyIcarus — Tools library for Security Research
- pyirx — IRx
- pylops — Python library implementing linear operators to allow solving large-scale optimization problems
- pylops-distributed — An extension to PyLops for distributed linear operators.
- pymathics-natlang — no summary
- pynndescent — Nearest Neighbor Descent
- pyposeidon — Framework for Sea Level Hydrodynamic simulations
- pyproximal — Python library implementing proximal operators to solve non-smooth, constrained convex problems with proximal algorithms
- python-clustering — Intuitive access to clustering datasets, methods and tasks
- python-polar-coding — Polar coding implementation in Python
- pytigon-batteries — Pytigon library
- pytket-qirpass — Module for optimizing QIR using pytket.
- qsynthesis — Python API to synthesize Triton AST's
- quartic-sdk — QuarticSDK is the SDK package which exposes the APIs to the user
- qwgc — Graph classifier based on quantum walk
- Qwind — AGN line-driven winds model.
- rbc-project — RBC - Remote Backend Compiler Project
- rctorch — A Python 3 toolset for creating and optimizing Echo State Networks. This library is an extension and expansion of the previous library written by Reinier Maat: https://github.com/1Reinier/Reservoir
- red-team-language — Red-Team-Language - something snazzy
- reddit-tts-bot — A module that facilitates the creation of short form content from Reddit posts.
- relionai — Comprehensive ML Testing directly into your stack with just a few lines of code
- rlbcore — Common functionality for all rlbaselines projects
- roodmus — Synthetic SP micrograph creation and analysis
- rostspace — Protein Embedding Visualization Tool.
- rsnaped — Python module for single-molecule image processing.
- scdna-replication-tools — Code for analyzing single-cell replication dynamics
- scegot — single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
- scib — Evaluating single-cell data integration methods
- scimap — Spatial Single-Cell Analysis Toolkit
- scMDCF — Aligned Cross-modal Integration and Characterization of Single-Cell Multiomic Data with Deep Contrastive Learning
- scProject — Transfer learning framework for single cell gene expression analysis in Python
- scsims — Scalable, Interpretable Deep Learning for Single-Cell RNA-seq Classification
- scyan — Single-cell Cytometry Annotation Network
- scythe-extractors — A library of tools that generate summaries of the data contained in scientific data files
- sdmbc — Sub-Daily Multivariate Bias Correction (SDMBC)
- shap-app — A comprehensive application for interpreting machine learning models using SHAP values
- sho — Visualize python objects in the best way possible
- shplat — no summary
- singletrader — a package for backtesting and factor analysis
- skoots — SKeletOn ObjecT Segmentation (SKOOTS)
- slumba — JITted SQLite user-defined functions and aggregates
- smc-movement-models — Projet pour le cours Hidden Markov models and Sequential Monte-Carlo methods de l'ENSAE.
- solarkat — Solar imaging pipeline for solar interference mitigation in MeerkAT
- sonosco — Framework for training deep automatic speech recognition models.
- soundfactory — simple tools for audio-signal manipulations
- sparselandtools — A package for sparse representations and dictionary learning
- sphynxml — no summary
- styletts2-fork — Fork of StyleTTS 2 Python packge. StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. Original authors: Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani, Sidharth Rajaram.
- summit — Tools for optimizing chemical processes
- tarandm-analytics — Package links analytics in Python with TaranDM software.
- Task-4-5-Maihitooy — A task
- tensionflow — A Tensorflow framework for working with audio data.
- testgailbot002 — GailBot API
- testgailbotapi — GailBot Test API
- testgailbotapi001 — GailBot Test API
- th2-data-services-utils — th2_data_services_utils
- tinybgw — Pure-Python implementation of a threshold secure multi-party computation (MPC) network.
- tinygrad — You like pytorch? You like micrograd? You love tinygrad! <3
- tinygrad-experiments — You like pytorch? You like micrograd? You love tinygrad! heart
- tinygrad-tools — You like pytorch? You like micrograd? You love tinygrad! <3
- tinysig — Pure-Python implementation of a threshold ecdsa signature scheme based on a secure multi-party computation (MPC) protocol for evaluating arithmetic sum-of-products expressions via a non-interactive computation phase.
- training-grounds — The framework for featurization and model training
- tscode — Computational chemistry general purpose transition state builder and ensemble optimizer
- uMAIA — Toolbox for the processing and analysis of MALDI-MSI data
- VASPsol — A VASPsol python helper package to simplify calculations and analysis
- velocycle — Bayesian model for RNA velocity estimation of periodic manifolds
- vis-intern — a system reinforcement learning game splendor for vis intern
- wilddrummer — Turn sound samples into drums.
- xanathar — The Xanathar programming Language
- zoish — Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly.
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