Gaussian Mixture Models in Python: Get Membership Probabilities with scikit-learn

KV Cache in Python: Reuse Past Keys and Values

Kalman Filter in Python with FilterPy: Track Position and Velocity from Noisy Data

SASRec in Python with RecBole: Predict the Next Item from Click Sequences

RotatE vs TransE in Python with PyKEEN: Why Symmetric Relations Break TransE

Gensim LDA in Python: Compare Topic Counts with Coherence

SPLADE Sparse Retrieval in Python: Find Relevant Documents Beyond Exact Keywords

Prediction Intervals vs Confidence Intervals in Python: Choose the Right Uncertainty Band

Demographic Parity vs Equalized Odds in Python: Measure Fairness with Fairlearn

Truncated SVD with scikit-learn in Python: Compress TF-IDF Without Dense Matrices

Hidden Markov Models in Python: Detect Time-Series Regimes with hmmlearn

Captum Integrated Gradients in Python: See Which Pixels Drive a Prediction

TransE for Knowledge Graph Link Prediction in Python

Two-Tower Recommender in Python: Retrieve Candidates Without Scoring Every Item

MinHash LSH in Python: Find Near-Duplicate Documents

Calibrate Multiclass Probabilities with scikit-learn in Python

CRPS vs Pinball Loss in Python: Evaluate Probabilistic Forecasts

Differential Privacy with Opacus in Python: Train with DP-SGD and Track Epsilon

Vision Transformers with timm in Python: Fine-Tune an Image Classifier

Byte Pair Encoding in Python: Build an LLM Tokenizer from Scratch

HDBSCAN vs DBSCAN in Python: Cluster Variable-Density Data

STL Decomposition in Python: Remove Seasonality Before Anomaly Detection

Counterfactual Explanations with DiCE in Python: Find What Flips a Prediction

Build an Inverted Index in Python: Answer AND Queries with Postings Lists

LightFM in Python: Fix New-Item Cold Start with Metadata

RankNet in Python: Train a Pairwise Search Ranker with PyTorch

Detect and Correct Label Shift with BBSE in Python

LoRA Fine-Tuning with Hugging Face PEFT: Adapt an LLM on One GPU in Python

Top-K vs Top-P Sampling in Python: Control LLM Randomness

CLIP Image Search in Python: Find Images with Natural Language

Ray Tune ASHA in Python: Stop Bad Trials During Parallel Tuning

OpenSearch BM25F in Python: Rank Across Title and Body Fields

Time Series Anomaly Detection with STUMPY: Find Discords in Python

PyTorch Geometric GAT in Python: Learn Which Neighbors Matter

Accumulated Local Effects with PyALE: Explain Correlated Features in Python

Optuna Multi-Objective Optimization in Python: Balance XGBoost Accuracy and Latency

Knowledge Graph Entity Resolution in Python: Clean Duplicate Entities with RapidFuzz

Bloom Filters in Python: Fast Membership Checks for Search Indexes

DuckDB Full-Text Search in Python: Build Local Document Search

Evaluate RAG with Ragas in Python: Measure Faithfulness and Context Recall

Qdrant Payload Filtering in Python: Search Vectors with Metadata Conditions

Sentence Transformers in Python: Train Retrieval Embeddings with MultipleNegativesRankingLoss

PyTorch Geometric Link Prediction in Python: Predict Missing Graph Edges

FAISS Recall in Python: Test ANN Search Accuracy

Rerank Dense Search Results with ColBERT in Python

Beta Calibration in Python: Fix Skewed Classifier Probabilities

Pandera Data Validation in Python: Catch Broken ML Inputs Before Training

Change Point Detection with ruptures: Find Time Series Regime Shifts in Python

Personalized PageRank with NetworkX: Recommend from a Seed Node in Python

PolynomialFeatures in scikit-learn: Capture Feature Interactions in Python

SplineTransformer in scikit-learn: Fit Nonlinear Tabular Patterns in Python

Optuna for PyTorch: Tune Neural Networks with Pruning in Python

PyTorch Mixed Precision with torch.amp: Train Faster in Python

Risk-Coverage Curves in Python: Evaluate Abstaining Classifiers

MAPIE Mondrian Conformal Prediction: Check Group Coverage in Python

Reciprocal Rank Fusion in Python: Combine BM25 and Embedding Search

Cleanlab in Python: Find Label Errors Before Training Your Model

Xavier vs He Initialization in Python: Stabilize Neural Network Training

BERTopic Topic Modeling in Python: Find Themes in Text

Mutual Information Feature Selection in Python: Remove Noisy Features Before Training