Aditya Nanda

Synthetic RNA-seq cohorts for data sharing: a discovery-aware benchmark at transcriptome scale — Nanda & Saha, 2026

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

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Official implementation of "SNPgen: Phenotype-Supervised Genotype Representation and Synthetic Data Generation via Latent Diffusion" (arXiv 2026)

Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.

build and benchmark systems for generative research synthesis

Super basic implementation (gist-like) of RLMs with REPL environments.

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Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

A Benchmark of Tabular Machine Learning in-the-Wild with real-world industry-grade tabular datasets

Structured state space sequence models