Matt Krzus (KayneWest)

KayneWest

User data from Github https://github.com/KayneWest

Company:lastfrontiertechnologies.com

Location:Chicago, IL

Home Page:www.mattkrzus.com

GitHub:@KayneWest

Matt Krzus's repositories

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debatrix

LLM-based Multi-dimensinal Debate Judge with Iterative Chronological Analysis

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deep-research

My own open source implementation of OpenAI's new Deep Research agent. Get the same capability without paying $200. You can even tweak the behavior of the agent with adjustable breadth and depth. Run it for 5 min or 5 hours, it'll auto adjust.

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entropix

Entropy Based Sampling and Parallel CoT Decoding

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gmailsponge

sponge your gmail with artificial intelligence

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grok

Grok open release

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instructor

structured outputs for llms

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kotaemon

An open-source RAG-based tool for chatting with your documents.

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LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

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linkedIn_auto_jobs_applier_with_AI

LinkedIn_AIHawk is a tool that automates the jobs application process on LinkedIn. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.

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llm-reasoners

A library for advanced large language model reasoning

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LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

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MCTS-DPO

This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.

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mergekit

Tools for merging pretrained large language models.

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OpenDevin

🐚 OpenDevin: Code Less, Make More

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rapid-research-framework

a research framework, but rapid.

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repeng

A library for making RepE control vectors

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ring-flash-attention

Ring attention implementation with flash attention

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searchless_chess

Grandmaster-Level Chess Without Search

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simple_transformer

Simple Transformer in Jax

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simpleRL-reason

This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data

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SPAG

Self-playing Adversarial Language Game Enhances LLM Reasoning

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SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.29% of bugs in the SWE-bench evaluation set and takes just 1.5 minutes to run.

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