Kishore PV Reddy (kishorepv)

kishorepv

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Company:UC San Diego @icebergnlp SVCL@UCSD

Location:San Diego, CA

Home Page:https://kishorepv.github.io

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icebergnlp

Kishore PV Reddy's starred repositories

pypi-scout

Find Python Packages on PyPI with the help of vector embeddings

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graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

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llm-twin-course

๐Ÿค– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป for ๐—ณ๐—ฟ๐—ฒ๐—ฒ how to ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ an end-to-end ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—Ÿ๐—Ÿ๐—  & ๐—ฅ๐—”๐—š ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ using ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€ best practices: ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 12 ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ ๐˜ญ๐˜ฆ๐˜ด๐˜ด๐˜ฐ๐˜ฏ๐˜ด

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lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

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bm25s

Fast lexical search library implementing BM25 in Python using Numpy and Scipy

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LLM101n

LLM101n: Let's build a Storyteller

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nbdev

Create delightful software with Jupyter Notebooks

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doubtlab

Doubt your data, find bad labels.

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cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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vaderSentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

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awesome-userscripts

๐Ÿ“– A curated list of Awesome Userscripts.

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emb2emb

Implementation of the paper 'Plug and Play Autoencoders for Conditional Text Generation'

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sense2vec

๐Ÿฆ† Contextually-keyed word vectors

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omniparse

Ingest, parse, and optimize any data format โžก๏ธ from documents to multimedia โžก๏ธ for enhanced compatibility with GenAI frameworks

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marker

Convert PDF to markdown quickly with high accuracy

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screen-pipe

Library to build personalized AI powered by what you've seen, said, or heard. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust.

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SAELens

Training Sparse Autoencoders on Language Models

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fineweb-modal

Using modal.com to process FineWeb-edu data

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FlagEmbedding

Retrieval and Retrieval-augmented LLMs

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Datasets-for-Recommender-Systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

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MicroLens

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

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Phi-3CookBook

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

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deep-learning

A deep-dive on the entire history of deep-learning

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Wikifier

Pytorch implementation of a BiLSTM model for the Wikification project.

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meta-nbextension

Access to current notebook and cell in an nbclassic notebook

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RAGatouille

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

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lancedb

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

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recsys-nlp-graph

๐Ÿ›’ Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.

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