Chris Adaline's starred repositories

persona-hub

Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"

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generative-ai-for-beginners

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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ollama

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

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litellm

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

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TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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napari-chatgpt

A napari plugin to process and analyse images with chatGPT!

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granite-code-models

Granite Code Models: A Family of Open Foundation Models for Code Intelligence

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RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

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instructor

structured outputs for llms

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s5cmd

Parallel S3 and local filesystem execution tool.

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nccl

Optimized primitives for collective multi-GPU communication

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langserve

LangServe 🦜️🏓

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LLMCompiler

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

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text-generation-webui

A Gradio web UI for Large Language Models.

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Grokking-Deep-Learning

Sample Code From Andrew Trask Grokking Deep Learning

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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Perpetual-AI

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

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pydantic

Data validation using Python type hints

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MoE-Mamba

Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Zeta

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sentry

Developer-first error tracking and performance monitoring

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pywinassistant

The first open source Large Action Model generalist Artificial Narrow Intelligence that controls completely human user interfaces by only using natural language. PyWinAssistant utilizes Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models.

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LLMTest_NeedleInAHaystack

Doing simple retrieval from LLM models at various context lengths to measure accuracy

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corenet

CoreNet: A library for training deep neural networks

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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exllama

A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

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Mixture-of-Depths

Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"

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