lucidrains Goto Github PK
Name: Phil Wang
Type: User
Bio: Working with Attention. It's all we need
Location: San Francisco
Blog: lucidrains.github.io
Name: Phil Wang
Type: User
Bio: Working with Attention. It's all we need
Location: San Francisco
Blog: lucidrains.github.io
Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch
Config files for my GitHub profile.
Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
Implementation of Marge, Pre-training via Paraphrasing, in Pytorch
Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space
Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis
Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena
PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
Implementation of Memformer, a Memory-augmented Transformer, in Pytorch
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"
My explorations into editing the knowledge and memories of an attention network
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(nĀ²) Memory"
A variant of Transformer-XL where the memory is updated not with a queue, but with attention
Mesh TensorFlow: Model Parallelism Made Easier
Implementation of Metaformer, but in an autoregressive manner
Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts
A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
An implementation of masked language modeling for Pytorch, made as concise and simple as possible
A GPT, made only of MLPs, in Jax
An All-MLP solution for Vision, from Google AI
Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind
Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Implementation of Multistream Transformers in Pytorch
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch
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.