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Machine Learning

Training models and neural networks.

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machine-learning
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td-simple-impute

Missing value imputation using TD_SimpleImputeFit

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

moai-domain-data-science

Production-grade data science specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master data processing, ML pipeline development, model deployment, and statistical analysis. Build end-to-end data science solutions with comprehensive experimentation and visualization.

AJBcoding
AJBcoding
data-ai
open
machine-learning
2

agent-o-rama

Layer 4 Learning and Pattern Extraction for Cognitive Surrogate Systems

plurigrid
plurigrid
data-ai
open
machine-learning
2

td-decision-tree

Decision tree classifier for categorical prediction and rule extraction

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

td-model-selection

Automated model selection and comparison for optimal forecasting

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

discrete-backprop

Gradient-free optimization via discrete perturbations and trit-based learning

plurigrid
plurigrid
data-ai
open
machine-learning
2

skill-embedding-vss

P-adic ultrametric skill embeddings with MLX Snowflake Arctic, DuckDB

plurigrid
plurigrid
data-ai
open
machine-learning
2

td-arimaestimate

ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

flow-nexus-neural

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

bjpl
bjpl
data-ai
open
machine-learning
2

dataset-curator

Curate and clean training datasets for high-quality machine learning

eddiebe147
eddiebe147
data-ai
open
machine-learning
2

curiosity-driven

Schmidhuber's curiosity-driven learning: Intrinsic motivation via compression progress. Seek states that improve world model.

plurigrid
plurigrid
data-ai
open
machine-learning
2

td-train-test-split

Data splitting for model validation using TD_TrainTestSplit

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

td-svm

Support Vector Machine for linear and non-linear classification

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

causal-inference

Bengio's causal inference for AI: Interventional reasoning, counterfactuals, and System 2 deep learning. World models with causal structure.

plurigrid
plurigrid
data-ai
open
machine-learning
2

model-evaluator

Evaluate and compare ML model performance with rigorous testing methodologies

eddiebe147
eddiebe147
data-ai
open
machine-learning
2

td-scale-fit

Data scaling and normalization using TD_ScaleFit and TD_ScaleTransform

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

td-diff

Time series differencing for stationarity and trend removal

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

td-random-forest

Random forest ensemble classifier for high-accuracy classification

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

fine-tuning

LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
2

td-arima

ARIMA modeling for time series forecasting

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

td-decision-forest

Decision forest ensemble classifier for robust predictions

teradata-labs
teradata-labs
data-ai
open
machine-learning
2

td-portman

Ljung-Box portmanteau tests for model diagnostics and residual analysis

teradata-labs
teradata-labs
data-ai
open
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