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Introduction to Machine Learning Systems
Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
The All in One Framework to Build Undefeatable Scrapers
A playbook for systematically maximizing the performance of deep learning models.
Official implementation of AnimateDiff.
A pipeline parallel training script for diffusion models.
Download pictures (or videos) along with their captions and other metadata from Instagram.
Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monito…
Observability and runtime visualization for JS/TS/Python code with zero code change
MCP server that interacts with Obsidian via the Obsidian rest API community plugin
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
The best resource you will ever find for getting started with Obsidian, probably
A comprehensive Rust translation of the code from Sebastian Raschka's Build an LLM from Scratch book.
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
Deprecated – check out our newest work at https://near.ai
Scalar is an open-source API platform: 🌐 Modern Rest API Client 📖 Beautiful API References …
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
NVIDIA Linux open GPU with P2P support
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
An introduction to the smalltalk programming language with Glamorous Toolkit. Inspired by the awesome speedrun ethereum by the buidl guidl.
Everything you need to know to build your own RAG application