Eric Young (ESKYoung)

ESKYoung

Geek Repo

Company:@ovotech

Location:London, United Kingdom

Home Page:https://linkedin.com/in/eskyoung

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Eric Young's starred repositories

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Language:PythonLicense:MITStargazers:72415Issues:679Issues:3410

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-docker

:whale: A curated list of Docker resources and projects

locust

Write scalable load tests in plain Python 🚗💨

Language:PythonLicense:MITStargazers:23952Issues:428Issues:1627

full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

Language:TypeScriptLicense:MITStargazers:23923Issues:269Issues:407

opentofu

OpenTofu lets you declaratively manage your cloud infrastructure.

Language:GoLicense:MPL-2.0Stargazers:21368Issues:119Issues:820

llm.c

LLM training in simple, raw C/CUDA

Language:CudaLicense:MITStargazers:20607Issues:212Issues:115

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:19077Issues:221Issues:41

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Language:JavaScriptLicense:Apache-2.0Stargazers:17018Issues:174Issues:2078

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Language:PythonLicense:MITStargazers:13831Issues:284Issues:2071

uv

An extremely fast Python package installer and resolver, written in Rust.

Language:RustLicense:Apache-2.0Stargazers:12379Issues:28Issues:1651

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7579Issues:279Issues:217

GPTCache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Language:PythonLicense:MITStargazers:6590Issues:57Issues:155

axolotl

Go ahead and axolotl questions

Language:PythonLicense:Apache-2.0Stargazers:6516Issues:49Issues:585

generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:6020Issues:136Issues:135

chainlit

Build Conversational AI in minutes ⚡️

Language:TypeScriptLicense:Apache-2.0Stargazers:5842Issues:48Issues:564

ibis

the portable Python dataframe library

Language:PythonLicense:Apache-2.0Stargazers:4396Issues:82Issues:2879

llm-numbers

Numbers every LLM developer should know

anthropic-cookbook

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Language:Jupyter NotebookLicense:MITStargazers:3260Issues:96Issues:18

chain-of-thought-hub

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

Language:Jupyter NotebookLicense:MITStargazers:2414Issues:37Issues:34

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:PythonLicense:MITStargazers:1392Issues:16Issues:22

mlforecast

Scalable machine 🤖 learning for time series forecasting.

Language:PythonLicense:Apache-2.0Stargazers:748Issues:13Issues:115

llmflows

LLMFlows - Simple, Explicit and Transparent LLM Apps

Language:PythonLicense:MITStargazers:629Issues:12Issues:39

inspect_ai

Inspect: A framework for large language model evaluations

Language:PythonLicense:MITStargazers:334Issues:6Issues:15

gpu-optimization-workshop

Slides, notes, and materials for the workshop

Stargazers:252Issues:0Issues:0

applied-ai-engineering-samples

This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:242Issues:28Issues:4

ml-interview-questions-and-answers

This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.

Language:TeXLicense:MITStargazers:96Issues:4Issues:0

promptcraft

From language model prompts to prototype in three days

Language:Jupyter NotebookLicense:MITStargazers:3Issues:0Issues:0