Adam Yarger (adamyarger)

adamyarger

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Company:DoorDash

Location:Minneapolis, Minnesota

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Adam Yarger's starred repositories

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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cover-agent

CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

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phidata

Build AI Assistants with memory, knowledge and tools.

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LaVague

Large Action Model framework to develop AI Web Agents

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professional-programming

A collection of learning resources for curious software engineers

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udlbook

Understanding Deep Learning - Simon J.D. Prince

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activitywatch

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

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ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

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marqo

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

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open-interpreter

A natural language interface for computers

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tesseract

Tesseract Open Source OCR Engine (main repository)

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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putting-the-you-in-cpu

A technical explainer by @kognise of how your computer runs programs, from start to finish.

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primeqa

The prime repository for state-of-the-art Multilingual Question Answering research and development.

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open-llms

📋 A list of open LLMs available for commercial use.

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ELI5

Scripts and links to recreate the ELI5 dataset.

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llm-foundry

LLM training code for Databricks foundation models

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LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

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trl

Train transformer language models with reinforcement learning.

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ToolQA

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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nn-zero-to-hero

Neural Networks: Zero to Hero

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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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ImageBind

ImageBind One Embedding Space to Bind Them All

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serve

Serve, optimize and scale PyTorch models in production

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quillman

A chat app that transcribes audio in real-time, streams back a response from a language model, and synthesizes this response as natural-sounding speech.

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makemore

An autoregressive character-level language model for making more things

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CEBRA

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

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