A framework for prompt tuning using Intent-based Prompt Calibration
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Updated
Apr 26, 2024 - Python
A framework for prompt tuning using Intent-based Prompt Calibration
⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.
Perception toolkit for sim2real training and validation in Unity
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
A curated list of awesome projects which use Machine Learning to generate synthetic content.
NVIDIA Deep learning Dataset Synthesizer (NDDS)
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
SynthDet - An end-to-end object detection pipeline using synthetic data
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
Unity's privacy-preserving human-centric synthetic data generator
Random dataframe and database table generator
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
NVIDIA Dataset Utilities (NVDU)
This is the dataset and code release of the OpenRooms Dataset. For more information, please refer to our webpage below. Thanks a lot for your interest in our research!
BEDLAM (CVPR 2023) render pipeline tools
Synthetic Occlusion Augmentation
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