Alternatives

Products that do what Training synthetic models on highly complex datasets does

1PP
Plait.py – a fake data modeler▲85
2018 · github.com
2CP
Curated, Pre-trained ML Models for Transfer Learning▲324
2018 · modeldepot.io
3CT
Comprehensive Tutorials in Deep Learning Using TensorFlow▲327
2018 · github.com
4RT
Red Teaming Synthetic Data Models▲5
2022 · gretel.ai
5
Data Robot▲92
Build Better Predictive Models — Faster
2014
6HM
Hindley-Milner Type Inference Algorithm in OCaml▲136
2016 · github.com
7ML
Machine learning automation from creating to using models in production▲72
2021 · github.com
8DL
Deep Learning for Program Synthesis▲93
2017 · microsoft.com
9SO
Set of trained deep learning models for computer vision▲127
2016 · github.com
10AA
AutoAI – A framework to find the best performing AI/ML model▲41
2021 · github.com
11CI
Convect – Instant Serverless Deployment of ML Models▲89
2021 · convect.ml
12CO
Cortex – Open-source alternative to SageMaker for model serving▲65
2020 · github.com
13PA
Panini AI – A platform to serve ML/DL models at low latency▲29
2019 · panini.ai
14TG
traingenerator – Generate template code for machine learning▲13
2020 · github.com
15AG
Adversarial Generation of Extreme Samples▲35
2020 · arxiv.org
16IL
Incremental learning of polynomials (and other LIP models) with IRMA▲24
2021 · buschermoehle.org
17BM
Bootstrapping Machine Learning▲8
2014 · louisdorard.com
18TA
Train a Convolutional Neural Nets Using Multi-Party Computation▲28
2018 · blog.openmined.org
19PV
Pluggable vector space models▲12
2019 · github.com
20GU
Generate unique pepes using deep learning▲15
2017 · makerarepepes.me
21ML
Machine learning (entirely) in Rust▲20
2016 · github.com
22NN
Num2vec – Numerical Embeddings via Deep Nested RNNs▲6
2018 · blog.ayoungprogrammer.com
23NA
Neuralake, a simple platform for complex data▲6
2025 · github.com
24LO
Largest open-source multimodal AI dataset▲8
Oct 2025 · e-mm1.github.io

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