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Starred repositories
An incremental parsing system for programming tools
Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
A MicroKernel Multi-Agents System Framework for Adaptive Social Simulation Powered by LLMs
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Code for "EgoX: Egocentric Video Generation from a Single Exocentric Video"
Visualize your Markdown as mindmaps with markmap
File indexer with semantic search, hybrid retrieval, and multi-step reasoning agents
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
Collection of leaked system prompts
🔏 Opinionated, typographic-centric ggplot2 themes and theme components
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Build vector tilesets from large collections of GeoJSON features.
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Rembg is a tool to remove images background
Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages
21 Lessons, Get Started Building with Generative AI
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Extend the behaviour of a function without explicitly modifying it
Breakdown a Monolithic Application to a Suite of Services
A library for drawing space-filling curves like the Hilbert Curve.
This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.