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Extrapolating knowledge graphs from unstructured text using GPT-3 šµļøāāļø
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
This is the repository for the code associated with the paper titled "In-memory factorization of holographic perceptual representations"
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
Inverse rendering by optimizing neural SDF and materials from photometric images
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
Keras implementation of Legendre Memory Units
š¦ LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
ā” Building applications with LLMs through composability ā”
Language models are open knowledge graphs ( non official implementation )
High-Resolution Image Synthesis with Latent Diffusion Models
[ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Cox, Zhangyang (Atlas) Wang, Yoon Kim
Lightweight Google-searchable Slack alternative for Communities
Liquid Structural State-Space Models
A parser and browser for the Lisa source code published by the Computer History Museum
Port of Facebook's LLaMA model in C/C++
Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.
A number of experiments using GPT-3, delivered in a web app
The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Using Low-rank adaptation to quickly fine-tune diffusion models.
The swiss army knife of lossless video/audio editing
Red Canary Mac Monitor is an advanced, stand-alone system monitoring tool tailor-made for macOS security research. Beginning with Endpoint Security (ES), it collects and enriches system events, displaying them graphically, with an expansive feature set designed to reduce noise.
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(nĀ²) Memory"
Repo for external large-scale work
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.