Lucidrains github.

Implementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorch Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research ...Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory" - lucidrains/memory-efficient-attention-pytorchImplementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch. It seems like they missed the mark for text, but the research direction still seems promising. I think a clean repository will do the research community a lot of benefits for those branching off from here.The RETRODataset class accepts paths to a number of memmapped numpy arrays containing the chunks, the index of the first chunk in the sequence to be trained on (in RETRO decoder), and the pre-calculated indices of the k-nearest neighbors per chunk.. You can use this to easily assemble the data for RETRO training, if you …

Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021 - lucidrains/geometric-vector-perceptron

An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch - lucidrains/phasic-policy-gradient

I am a Taiwanese American, born and raised around Boston. I got my engineering degree from Cornell University, and also have a medical degree from University of Michigan. I …Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch - lucidrains/MaMMUT-pytorch@inproceedings {Ainslie2023CoLT5FL, title = {CoLT5: Faster Long-Range Transformers with Conditional Computation}, author = {Joshua Ainslie and Tao Lei and Michiel de Jong and Santiago Ontan'on and Siddhartha Brahma and Yury Zemlyanskiy and David Uthus and Mandy Guo and James Lee-Thorp and Yi Tay and Yun-Hsuan Sung and Sumit …Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch - lucidrains/memorizing-transformers-pytorch

A simple but complete full-attention transformer with a set of promising experimental features from various papers - Releases · lucidrains/x-transformers.

An implementation of masked language modeling for Pytorch, made as concise and simple as possible - lucidrains/mlm-pytorch

Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT - lucidrains/simple-hierarchical-transformerI am a Taiwanese American, born and raised around Boston. I got my engineering degree from Cornell University, and also have a medical degree from University of Michigan. I will be available in San Francisco for contracting, private tutoring, or full-time hire in March 2024. If you are a research group in need of research …I wander to know what is the means of the last dimension of vgrid? It contains two numbers, I understand They are coordinates, But it is the center of the patch? or the left-bottom of …GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.GitHub has released its own internal best-practices on how to go about setting up an open source program office (OSPO). GitHub has published its own internal guides and tools on ho...Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch - lucidrains/enformer-pytorchIn today’s digital age, it is essential for professionals to showcase their skills and expertise in order to stand out from the competition. One effective way to do this is by crea...

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch - lucidrains/perceiver-pytorch. lucidrains/lucidrains.github.io. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Thispersondoesnotexist went down, so this time, while building it back up, I am going to open source all of it. - lucidrains/TPDNEImplementation of the Point Transformer layer, in Pytorch - lucidrains/point-transformer-pytorchBy default, this will use the augmentations recommended in the SimCLR paper, mainly color jitter, gaussian blur, and random resize crop. However, if you would like to specify your own augmentations, you can simply pass in a augment_fn in the constructor. Augmentations must work in the tensor space.

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch - lucidrains/perceiver-pytorch.

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch - lucidrains/g-mlp-pytorchJust some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research ...Implementation of the Mega layer, the Single-head Attention with Multi-headed EMA layer that exists in the architecture that currently holds SOTA on Long Range Arena, beating S4 on Pathfinder-X and all the other tasks save for audio. Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch - lucidrains/segformer-pytorch Implementation of Gated State Spaces, from the paper Long Range Language Modeling via Gated State Spaces, in Pytorch.In particular, it will contain the hybrid version containing local self attention with the long-range GSS. Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI - lucidrains/self-rewarding-lm-pytorch Implementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorchMy attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation - lucidrains/rvq-vae-gptImplementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch - lucidrains/neural-plexer-pytorch

2013. 2012. 2011. 2010. 2009. Working with Attention. It's all we need. lucidrains has 282 repositories available. Follow their code on GitHub.

This MetaAI paper proposes simply fine-tuning on interpolations of the sequence positions for extending to longer context length for pretrained models. They show this performs much better than simply fine-tuning on the same sequence positions but extended further. You can use this by setting the interpolate_factor on initialization to a value greater than 1.

Implementation of the Llama (or any language model) architecture with RLHF + Q-learning. This is experimental / independent open research, built off nothing but speculation. But I'll throw some of my brain cycles at the problem in the coming month, just in case the rumors have any basis. Anything you PhD students can get working is up for grabs ...You can also pass in an external visual transformer / residual net. You simply have to make sure your image encoder returns a set of embeddings in the shape of batch x seq x dim, and make sure dim_image is properly specified as the dimension of the returned embeddings. Below is an example using vision transformer from vit_pytorchImplementation of Feedback Transformer in Pytorch. Contribute to lucidrains/feedback-transformer-pytorch development by creating an account on GitHub.Implementation of Metaformer, but in an autoregressive manner - lucidrains/metaformer-gptA combination of Transformer-XL with ideas from Memory Transformers. While in Transformer-XL the memory is just a FIFO queue, this repository will attempt to update the memory (queries) against the incoming hidden states (keys / values) with a memory attention network.Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch - lucidrains/g-mlp-pytorchImplementation of Perceiver, General Perception with Iterative Attention, in Pytorch - lucidrains/perceiver-pytorch.Phil Wang lucidrains · All gists 27 · Starred 7. Sort: Recently ...

num_slots = 5 , dim = 512 , iters = 3 # iterations of attention, defaults to 3. inputs = torch. randn ( 2, 1024, 512 ) slot_attn ( inputs) # (2, 5, 512) After training, the network is reported to be able to generalize to slightly different number of slots (clusters). You can override the number of slots used by the num_slots keyword in forward.@misc {tolstikhin2021mlpmixer, title = {MLP-Mixer: An all-MLP Architecture for Vision}, author = {Ilya Tolstikhin and Neil Houlsby and Alexander Kolesnikov and Lucas Beyer and Xiaohua Zhai and Thomas Unterthiner and Jessica Yung and Daniel Keysers and Jakob Uszkoreit and Mario Lucic and Alexey Dosovitskiy}, … Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch - lucidrains/phenaki-pytorch Instagram:https://instagram. google flights greecesweet castle foot spa merricknba fan duel rotowirerayus radiology and vascular care photos i would like to work on this but not sure how to set it up. #12 opened on Nov 8, 2023 by vivasvan1. Inference for TTS. #10 opened on Oct 25, 2023 by Wizard-The-Grey. 1. GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.Implementation of Dreamcraft3D, 3D content generation in Pytorch - lucidrains/dreamcraft3d-pytorch body rubs myrtle beachimagenes de cholos chidas Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch - lucidrains/pi-GAN-pytorch watchxxxfree.ckm Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch - lucidrains/meshgpt-pytorch Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch - lucidrains/cross-transformers-pytorch