stephenpardy

stephenpardy's Stars

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.8k8924869.7k

• faif/python-patterns

  A collection of design patterns/idioms in Python

  Language:Python40.7k1.6k886.9k

• outlines-dev/outlines

  Structured Text Generation

  Language:Python8.2k47553414

• goldmansachs/gs-quant

  Python toolkit for quantitative finance

  Language:Jupyter Notebook8k15831993

• confident-ai/deepeval

  The LLM Evaluation Framework

  Language:Python4.1k23312331

• Rikorose/DeepFilterNet

  Noise supression using deep filtering

  Language:Python2.6k31289243

• neulab/prompt2model

  prompt2model - Generate Deployable Models from Natural Language Instructions

  Language:Python2k25169177

• google-deepmind/penzai

  A JAX research toolkit for building, editing, and visualizing neural networks.

  Language:Python1.7k181855

• AgentOps-AI/tokencost

  Easy token price estimates for 400+ LLMs. TokenOps.

  Language:Python1.5k104363

• automl/SMAC3

  SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  Language:Python1.1k42565229

• tensorflow/tcav

  Code for the TCAV ML interpretability project

  Language:Jupyter Notebook6343464151

• labmlai/inspectus

  LLM Analytics

  Language:TypeScript6297724

• fabsig/GPBoost

  Combining tree-boosting with Gaussian process and mixed effects models

  Language:C++5811212946

• ServiceNow/N-BEATS

  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

  Language:Python5252214116

• ndif-team/nnsight

  The nnsight package enables interpreting and manipulating the internals of deep learned models.

  Language:Jupyter Notebook43749141

• poloclub/wizmap

  Explore and interpret large embeddings in your browser with interactive visualization! 📍

  Language:TypeScript43462229

• GAIR-NLP/auto-j

  Generative Judge for Evaluating Alignment

  Language:Python22151214

• saprmarks/dictionary_learning

  Language:Python1665740

• datasette/datasette-extract

  Import unstructured data (text and images) into structured tables

  Language:JavaScript1453304

• amazon-science/tabsyn

  Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

  Language:Python10772236

• s-marton/GRANDE

  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

  Language:Jupyter Notebook89159

• pola-rs/dask-polars

  Coming soon

  Language:Python591235

• JAEarly/MILTimeSeriesClassification

  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

  Language:Jupyter Notebook36129

• explanare/ravel

  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.

  Language:Python34117

• jjbrophy47/tree_influence

  Influence Estimation for Gradient-Boosted Decision Trees

  Language:Python264410

• jacobyhsi/InterpreTabNet

  [ICML 2024 (Spotlight)] InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation. Paper: https://arxiv.org/abs/2406.00426.

  Language:Jupyter Notebook1110

• machow/databackend

  Language:Python10310

• joelburget/mamba-sae

  Training and evaluating Sparse Autoencoders for Mamba

  Language:Python9231

• rapidsai/legate-boost

  GBM implementation on Legate

  Language:Python97528

• retna319/SMNN

  Scalable Monotonic Neural Networks

  Language:Python5102