synthetic-data

20 Projekte teilen dieses GitHub-Topic

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machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Synthetic data generation for tabular data

synthetic-data-generator

SDG is a specialized framework designed to generate high-quality structured tabular data.

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

Synthetic data curation for post-training and structured data extraction

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

verbalized-sampling

Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting…

Synthetic Data SDK ✨

A library to model multivariate data using copulas.

[CVPR'26 Highlight] Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset

EnterpriseRAG-Bench

Dataset and benchmark for RAG on company internal documents.

mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function: A…

A novel approach for synthesizing tabular data using pretrained large language models

✨ A synthetic dataset generation framework that produces diverse coding questions and verifiable solutions…

Benchmarking synthetic data generation methods.

Verifiable handwriting synthesis for failure-driven multimodal training and regression.

★ 290 · GitHub ↗

🔗 Verwandte Familien

data-generation 6 synthetic-data-generation 4 tabular-data 6 llm-evaluation 52 qwen 87 instruction-tuning 28 gan 55 generative-adversarial-network 32

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