Reverse Dependencies of dill
The following projects have a declared dependency on dill:
- sfdc-merlion — Merlion: A Machine Learning Framework for Time Series Intelligence
- sfr-pyrca — PyRCA: A Python library for Root Cause Analysis
- sgepy — sgepy package
- shaarpec — Client for SHAARPEC Analytics API.
- shapelets-platform — Data Scientist platform
- shapflow — a python package to explain ml pipelines
- sharedbuiltinmutables — Shared list / set / dict across processes / environments
- shelfdb — A tiny documents database for Python
- shelfquery — shelfdb query client.
- shillelagh — Making it easy to query APIs via SQL
- shot-detector — Python shot detector based on PyAV
- shouterlog — A custom logging tool that expands normal logger with additional formatting and debug capabilities.
- shrynk — Using Machine Learning to learn how to Compress
- simframe — Framework for Scientific Simulations
- simple-deployment — no summary
- SimpleApplication — Simple Application in Python
- simpleflow — Python library for dataflow programming with Amazon SWF
- simprocesd — Discreet event simulator for manufacturing systems.
- simvue — Simulation tracking and monitoring
- singletrader — a package for backtesting and factor analysis
- sis-great-ai — Transform your prototype AI code into production-ready software.
- sisl — Manipulation of DFT output, geometries and creating tight-binding parameter sets for NEGF transport
- sisu — Performs extractive, hierarchical, summarization out of a corpus of documents.
- skippa — SciKIt-learn Pre-processing Pipeline in PAndas
- sklarpy — Copula, Multivariate and Univariate probability distribution fitting in Python.
- sklearn-plus — A set of python modules for Natural Language Processing
- slack-machine — A wonderful, simple, yet powerful and extendable Slack bot framework
- slai-cli — no summary
- slurm-workflow — A Python module for running workflows on a Slurm cluster.
- slurmray — SlurmRay is a module for effortlessly distributing tasks on a Slurm cluster using the Ray library.
- small-text — Active Learning for Text Classifcation in Python.
- smallab — smallab (Small Lab) is an experiment framework designed to be easy to use with your experiment
- smart-app-framework — Python-фреймворк, который позволяет создавать смартапы для виртуальных ассистентов Салют.
- smartbotsol — smart conversation bots package
- SmartPyDumper — Smart Serializer that can serialize and de-serialize any json-like data that can contains any combination of Frame-like Data.
- smashed — SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries.
- smttask — Task wrapper for the Sumatra API
- snorkel-metal — A system for quickly generating training data with multi-task weak supervision
- soarv1 — no summary
- solarkat — Solar imaging pipeline for solar interference mitigation in MeerkAT
- Solverz — A simulation modelling language
- sparclur — Tools for analyzing PDF files and comparing PDF parsers
- Spark-Matcher — Record matching and entity resolution at scale in Spark
- sparktorch — Distributed training of PyTorch networks on Apache Spark with ML Pipeline support
- sparseSpACE — sparseSpACE - the Sparse Grid Spatially Adaptive Combination Environment implements different variants of the spatially adaptive combination technique
- sparx-lib — Sparx Implementation
- spatialedge-analytics-dfauditor — A dataframe auditor that extracts descriptive statistics from dataframe columns
- special-k — Safe serialization of ML models.
- spectrochempy — Processing, analysis and modelling Spectroscopic data for Chemistry with Python
- speed-stack — This simplifies easy enhancements to python.
- speteval — A useful module
- spins — no summary
- SplatStats — no summary
- SQcircuit — superconducting quantum circuit analyzer
- sqlmlutils — A client side package for working with SQL Server
- squlearn — A library for quantum machine learning following the scikit-learnstandard.
- srlife — Evaluate the structural life of a solar receiver
- sssegmentation — SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch
- starwhale — An MLOps Platform for Model Evaluation
- statey — Graph-based provisioning framework.
- stickybeak — Package that makes e2e tests easy.
- stimela — Framework for system agnostic pipelines for (not just) radio interferometry
- stir-invariance — STIR -- shared invariance measure
- Stoner — Library to help write data analysis tools for experimental condensed matter physics.
- storysniffer — Inspect a URL and estimate if it contains a news story
- stos — Converting the American sign language into speech or text, and vice versa.
- strangeworks-core — Strangeworks Core provides the infrastructure to interact with the platform.
- strangeworks-optimization — This SDK extends the Strangeworks SDK to provide access to the Strangeworks Optimization API.
- stratestic — Library for testing and analysing trading strategies.
- strax — Streaming analysis for xenon TPCs
- strictjson — A Strict JSON Framework for LLM Outputs, that fixes problems that json.loads() cannot solve
- sukta — Personalized training loop utilities for ML, RL, Robotics
- sumeru — Sumeru
- sumformer2 — Summarisation Transformer 2
- sunstreaker — 源码清晰明了,使用简单好搞
- supar — Syntactic/Semantic Parsing Models
- SuperDuperDB — 🔮 Super-power your database with AI 🔮
- supergraph — Supergraph compiler
- superscreen — SuperScreen: simulate Meissner screening in 2D superconducting devices.
- supersolids — Simulate and animate supersolids.
- sweet-pipes — project_description
- swutil — Provide common code for validation, multiprocessing, logging, decorator, configuration, plotting, etc.
- sxclzy — a tool to schedule your functions
- syamaguc — A Python Project of TEMPLATE
- symphysics — The symphysics library for creating physics simulations using python and sympy
- syncnote — None
- syne-tune — Distributed Hyperparameter Optimization on SageMaker
- synthdata — Generate synthetic data to fill, balance and expand datasets
- synthetic-data-generation — Algorithms for generating synthetic data
- synthmap — A toolkit to recover geodata from collections of images
- tae-grader — Python and Jupyter Notebook autograder
- tala — Design dialogue domain descriptions (DDDs) for TDM
- taper — Contains some data
- tarzan — high-level IO for tar based dataset
- taskgen-ai — A Task-based agentic framework building on StrictJSON outputs by LLM agents
- taskprocessor — Distributed task processing
- TBForms — Small extension for pyTelegramBotAPI library for building interactive forms in Telegram bots.
- tcp-connector — A lightweight network programming tool for Python
- tcrdist3 — flexible distance measures for comparing T cell receptors
- tcs-pythonwhat — Submission correctness tests for Python