shawndr

shawndr's Stars

• AnswerDotAI/fsdp_qlora

  Training LLMs with QLoRA + FSDP

  Language:Jupyter Notebook1.4k183

• Azure/PyRIT

  The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.

  Language:Python1.7k305

• microsoft/SoM

  Set-of-Mark Prompting for LMMs

  Language:Python1.1k84

• danielgross/ggml-k8s

  Run GGML models with Kubernetes.

  Language:HCL1727

• mudler/LocalAI

  :robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed inference

  Language:C++23.1k1.7k

• run-llama/llama_index

  LlamaIndex is a data framework for your LLM applications

  Language:Python35.2k4.9k

• chenfei-wu/TaskMatrix

  Language:Python34.5k3.3k

• aws-samples/amazon-forecast-samples

  Notebooks and examples on how to onboard and use various features of Amazon Forecast.

  Language:Jupyter Notebook513370

• whitphx/stlite

  In-browser Streamlit 🎈🚀

  Language:TypeScript1.1k55

• LeoGrin/tabular-benchmark

  Language:Python44159

• huggingface/setfit

  Efficient few-shot learning with Sentence Transformers

  Language:Jupyter Notebook2.1k217

• AmenRa/ranx

  ⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

  Language:Python43223

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6.1k751

• castorini/docTTTTTquery

  docTTTTTquery document expansion model

  Language:Python35132

• nyu-dl/dl4ir-doc2query

  Language:Python15915

• UKPLab/gpl

  Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

  Language:Python31937

• google-research/byt5

  Language:Python47729

• rom1504/clip-retrieval

  Easily compute clip embeddings and build a clip retrieval system with them

  Language:Jupyter Notebook2.3k208

• dainiusjocas/lucene-grep

  Grep-like utility based on Lucene Monitor compiled with GraalVM native-image

  Language:Clojure1895

• allenai/s2search

  The Semantic Scholar Search Reranker

  Language:Python9916

• salesforce/ml4ir

  Machine Learning for Information Retrieval

  Language:Jupyter Notebook8431

• banditml/offline-policy-evaluation

  Implementations and examples of common offline policy evaluation methods in Python.

  Language:Python21924

• criteo-research/reco-gym

  Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

  Language:Jupyter Notebook46398

• statisticianinstilettos/recmetrics

  A library of metrics for evaluating recommender systems

  Language:Jupyter Notebook56199

• benhamner/Metrics

  Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

  Language:Python1.6k454

• hpclab/rankeval

  Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

  Language:Python8811

• acbull/Unbiased_LambdaMart

  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

  Language:C++22450

• castorini/pyserini

  Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

  Language:Python1.6k354

• linkedin/detext

  DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

  Language:Python1.3k132

• beir-cellar/beir

  A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

  Language:Python1.5k182