Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
#计算机科学#Synthetic data generation for tabular data
A powerful, feature-rich, random test data generator.
#计算机科学#List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
#自然语言处理#Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
The Declarative Data Generator
Conditional GAN for generating synthetic tabular data.
Data generation and property-based testing for Elixir. 🔮
#Awesome#CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
#计算机科学#A library to model multivariate data using copulas.
MockNeat - the modern faker lib.
Generate strings that match a given regular expression
#计算机科学#Deep Convolutional Neural Networks for Musical Source Separation
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POC...
C++ Faker library for generating fake (but realistic) data.
#计算机科学#Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
#计算机科学#A novel approach for synthesizing tabular data using pretrained large language models
Random dataframe and database table generator
#计算机科学#A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.