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Hi there 👋 I'm Gor and I'm on a mission to democratize AI dev tools!

I am the author of Aim 🔭

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs.

Aim provides a performant and beautiful UI for exploring and comparing training runs. Additionally, its SDK enables programmatic access to tracked metadata — perfect for automations and Jupyter Notebook analysis.

⚡ Try it out now: github.com/aimhubio/aim




Log Metadata Across Your ML Pipeline 💾 Visualize & Compare Metadata via UI 📊
  • ML experiments and any metadata tracking
  • Integration with popular ML frameworks
  • Easy migration from other experiment trackers
  • Metadata visualization via Aim Explorers
  • Grouping and aggregation
  • Querying using Python expressions
Run ML Trainings Effectively ⚡ Organize Your Experiments 🗂️
  • System info and resource usage tracking
  • Real-time alerting on training progress
  • Logging and configurable notifications
  • Detailed run information for easy debugging
  • Centralized dashboard for holistic view
  • Runs grouping with tags and experiments

Check out more at Aim's public repo ➡️

Gor Arakelyan's Projects

accelerate icon accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

aim icon aim

Aim 💫 — easy-to-use and performant open-source ML experiment tracker.

aimui icon aimui

Aim — a super-easy way to record, search and compare AI experiments. This repo contains the web UI component of Aim.

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-seml icon awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

bitstamp-go icon bitstamp-go

A client implementation of the Bitstamp API, including websockets, in Golang.

choo icon choo

:steam_locomotive::train: - sturdy 4kb frontend framework

dalle-pytorch icon dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

diagrams icon diagrams

:art: Diagram as Code for prototyping cloud system architectures

docs icon docs

Official docs, handbook for Chatwoot

enzynet icon enzynet

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

excalidraw icon excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gpt-engineer icon gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

hercules icon hercules

Gaining advanced insights from Git repository history.

hub icon hub

Dataset format for AI. Easily build and manage datasets for machine and deep learning. Stream data real-time & version-control it. https://activeloop.ai

ignite icon ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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