Write data & AI pipelines in (SQL, Spark, Pandas) and deploy to the cloud, simplified
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Mar 31, 2026 - Python
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small-data
Here are 16 public repositories matching this topic...
Autolume is a no-coding generative AI system allowing artists to train, craft, and explore their own models.
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Sep 24, 2026 - Python
SmallGBM is a gradient boosting library designed for small datasets (n < 1000). It combines robust leaf weight estimation with stochastic split selection to outperform XGBoost and LightGBM — with lower variance, no hyperparameter tuning, and a native C core.
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Oct 7, 2026 - Python
Official PyTorch implementation for ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing (IJCAI 2022)
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May 7, 2024 - Python
HELO is a lightweight and hybridized cryptographic system. This stands for "Hybrid Encryption Lightweight Optimization". It is made for robust security in IoT devices without reducing its performance. Also, it ensures integrity, authenticity, and confidentiality during the P2P data transmission.
lightweight iot security cryptography peer-to-peer cybersecurity hybrid information-security small-data helo-crypto
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Apr 28, 2025 - Python
Train a FastGAN on your own photographs, on one GPU, up to 3072×2048.
training real-time pytorch generative-adversarial-network gan generative-art image-generation high-resolution latent-space few-shot-learning huggingface xpu small-data intel-arc fastgan
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Nov 5, 2026 - Python
[OPEN Alloy] The official implement of ATON for high entropy alloy discovery
tabular-data materials-science bayesian-optimization high-entropy-alloys small-data alloy-design trajectory-learning alloy-discovery closed-loop-optimization
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Jul 22, 2026 - Python
A reproducible, leakage-proof feature selector for omics classification. Find the right features in n<<p data, not just fewer of them.
machine-learning regression high-dimensional-data feature-selection classification dimensionality-reduction omics imbalanced-data small-dataset imbalance high-dimensionality omics-analysis small-data small-datasets omics-data-analysis small-data-ml small-data-machine-learning
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Sep 22, 2026 - Python
Physics-informed knot decoder for short-crack growth curves (synthetic demo, M.Sc. thesis method)
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Oct 30, 2026 - Python
Udacity Small Data course (https://www.udacity.com/course/small-data--cd12528) transfer learning project.
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Nov 7, 2024 - Python
Small-data redoxmer stability audit comparing molecule-level validation with chemistry-platform transfer
model-validation scientific-machine-learning domain-shift small-data ai-for-science redox-flow-battery
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Aug 1, 2026 - Python
Out-of-distribution molecular property prediction from a few analog series: data sets, ensemble models, and MMP-based pseudo-labeling
machine-learning cheminformatics drug-discovery ensemble-learning data-augmentation pseudo-labeling out-of-distribution molecular-property-prediction small-data
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Oct 6, 2026 - Python
XGBoost end-to-end on tiny real-world data: forecasts the #5 NASCAR Cup car at Talladega (top-10, DNF, finish) with leak-free features, walk-forward backtesting, built-in SHAP explanations and a Streamlit dashboard.
python machine-learning plotly xgboost gradient-boosting motorsport explainable-ai sports-analytics motorsports shap nascar streamlit small-data time-series-cross-validation nascar-racing
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Nov 3, 2026 - Python
Solution for Udacity Small Data course project.
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Jan 26, 2026 - Python
Four tabular foundation models vs random forest, HistGradientBoosting and tuned XGBoost on six small UCI datasets, CPU only
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Nov 5, 2026 - Python
pip package for data analysis stability evaluation against small data change.
python docker machine-learning docker-compose pytest pip data-analytics data-analysis interpretability pip-package explainable-ai pip-install explainability data-analysis-project data-drift small-data data-drifts data-analysis-stability data-analysis-reliability small-data-change
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Jun 13, 2026 - Python
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