Popular GitHub Repositories for Upside Down

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking

Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down

Hunt down 840+ social media accounts using AI

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data

Bird's eye/Top Down view generation and mapping with deep learning.

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

[BMVC-20] Official PyTorch implementation of PPDet.

i18n for svelte without turning your codebase upside down

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Quantized stable-diffusion cutting down memory 75%, testing in streamlit, deploying in container

??♂? A Unity based FPS with a Zombie theme using raycasting for shooting and the core mechanics you'd expect in an FPS. Zombies use AI navigation and precise pathfinding to chase down the player. The game also has a HUD interface which is VR compatible.

The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility.

Save, load, host, and share AI model checkpoints without slowing down training. Host on Lightning AI or your own cloud with enterprise-grade access controls.

A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.

Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows. Switch seamlessly between cloud LLMs and self-hosted models, track every reasoning step, and optimize cost and tokens—all while keeping your data on your machine.

Enables developers to build, deploy, and manage multiple specialized agents that work together to tackle complex workflows. Each agent focuses on a specific task, breaks down processes into manageable steps, assigns tasks to the appropriate agents, and ensures accurate, and reliable outcomes.