Lucidrains github.

Implementation of Dreamcraft3D, 3D content generation in Pytorch - lucidrains/dreamcraft3d-pytorch

Lucidrains github. Things To Know About Lucidrains github.

Implementation of Discrete Key / Value Bottleneck, in Pytorch - lucidrains/discrete-key-value-bottleneck-pytorchPytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition" - lucidrains/hamburger-pytorchImplementation of ETSformer, state of the art time-series Transformer, in Pytorch - lucidrains/ETSformer-pytorchImplementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones - lucidrains/halonet-pytorchImplementation of the Hybrid Perception Block and Dual-Pruned Self-Attention block from the ITTR paper for Image to Image Translation using Transformers - lucidrains/ITTR-pytorch

Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch - lucidrains/parti-pytorch

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models - lucidrains/mixture-of-experts

Implementation of Axial attention - attending to multi-dimensional data efficiently - lucidrains/axial-attentionImplementation 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 ...Jun 14, 2023 · The whole LAION community started with crawling@home that became LAION-400M and later evolved into LAION-5B and at the same time lucidrains' awesome repository DALLE-pytorch, a replication of OpenAI's Dall-E model, that became more and more popular as we trained on CC-3m and CC-12m datasets and later on LAION-400M. Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement - lucidrains/stylegan2-pytorch

Thispersondoesnotexist went down, so this time, while building it back up, I am going to open source all of it. - lucidrains/TPDNE

Ponder(ing) Transformer. Implementation of a Transformer that learns to adapt the number of computational steps it takes depending on the difficulty of the input sequence, using the scheme from the PonderNet paper. Will also try to abstract out a pondering module that can be used with any block that returns an output with the halting probability.

it turns out cuda kernel version works, but naive flash attention bac… Force push. lucidrainsforce pushed to main • 045d61c…df48d4d •. 5 days ago ...Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorchJust some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research ...Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module - lucidrains/invariant-point-attentionJun 14, 2023 · The whole LAION community started with crawling@home that became LAION-400M and later evolved into LAION-5B and at the same time lucidrains' awesome repository DALLE-pytorch, a replication of OpenAI's Dall-E model, that became more and more popular as we trained on CC-3m and CC-12m datasets and later on LAION-400M. Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction" - lucidrains/kalman-filtering-attention

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.Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorchImplementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two - GitHub - …Saved searches Use saved searches to filter your results more quicklylucidrains / slot_attn.py. Last active January 7, 2021 16:41. Star 11. Fork 0. Code Revisions 5 Stars 11. Download ZIP. Raw. slot_attn.py. # link to package …

Implementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch - lucidrains/neural-plexer-pytorch@inproceedings {Chowdhery2022PaLMSL, title = {PaLM: Scaling Language Modeling with Pathways}, author = {Aakanksha Chowdhery and Sharan Narang and Jacob Devlin and Maarten Bosma and Gaurav Mishra and Adam Roberts and Paul Barham and Hyung Won Chung and Charles Sutton and Sebastian Gehrmann and Parker Schuh and Kensen Shi …

My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation - lucidrains/rvq-vae-gpt Implementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorch lucidrains / slot_attn.py. Last active January 7, 2021 16:41. Star 11. Fork 0. Code Revisions 5 Stars 11. Download ZIP. Raw. slot_attn.py. # link to package …DALL-E 2 - Pytorch. Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. Yannic Kilcher summary | AssemblyAI explainer. …Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch.They combine pseudo-3d convolutions (axial convolutions) and temporal attention and show much better temporal fusion. The pseudo-3d convolutions isn't a …Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch - lucidrains/metnet3-pytorchImplementation of the Transformer variant proposed in "Transformer Quality in Linear Time" - lucidrains/FLASH-pytorchImplementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch - lucidrains/segformer-pytorch Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models - lucidrains/classifier-free-guidance-pytorch

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

import torch from st_moe_pytorch import MoE moe = MoE ( dim = 512, num_experts = 16, # increase the experts (# parameters) of your model without increasing computation gating_top_n = 2, # default to top 2 gating, but can also be more (3 was tested in the paper with a lower threshold) threshold_train = 0.2, # at what threshold to accept a token to be routed to second expert and beyond - 0.2 was ...

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch - lucidrains/enformer-pytorchSome personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts. Learned from researcher friend that this has been tried in Switch Transformers unsuccessfully, but I'll give it a go, bringing in some learning points from recent papers like CoLT5.. In my opinion, the CoLT5 paper basically demonstrates mixture of … Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch - lucidrains/meshgpt-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 SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch - Releases · lucidrains/soundstorm-pytorchThis guy (Phil Wang, https://github.com/lucidrains) seems to have the hobby to just implement all models and papers he finds interesting. See his GitHub page. See his …Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch - Releases · lucidrains/soundstorm-pytorch@inproceedings {Recasens2023ZorroTM, title = {Zorro: the masked multimodal transformer}, author = {Adri{\`a} Recasens and Jason Lin and Jo{\~a}o Carreira and Drew Jaegle and Luyu Wang and Jean-Baptiste Alayrac and Pauline Luc and Antoine Miech and Lucas Smaira and Ross Hemsley and Andrew Zisserman}, year = {2023}}Apple no longer bundles any of their current MacBook models with an Apple Remote, so you have buy one separately if you want to control your iTunes or Keynote applications from afa... Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch - lucidrains/musiclm-pytorch Implementation of ResMLP, an all MLP solution to image classification, in Pytorch - lucidrains/res-mlp-pytorch

for awarding me the Imminent Grant to advance the state of open sourced text-to-speech solutions. This project was started and will be completed under this grant. StabilityAI for the generous sponsorship, as well as my other sponsors, for affording me the independence to open source artificial intelligence.. Bryan Chiang for the …it turns out cuda kernel version works, but naive flash attention bac… Force push. lucidrainsforce pushed to main • 045d61c…df48d4d •. 5 days ago ...Explore the GitHub Discussions forum for lucidrains gateloop-transformer. Discuss code, ask questions & collaborate with the developer community.@inproceedings {Tu2024TowardsCD, title = {Towards Conversational Diagnostic AI}, author = {Tao Tu and Anil Palepu and Mike Schaekermann and Khaled Saab and Jan Freyberg and Ryutaro Tanno and Amy Wang and Brenna Li and Mohamed Amin and Nenad Toma{\vs}ev and Shekoofeh Azizi and Karan Singhal and Yong Cheng and Le Hou and …Instagram:https://instagram. staffing scheduler salarysport clips haircuts of drexel town squareescort max 80the little mermaid 2023 showtimes near southgate cinemas Implementation of H-Transformer-1D, Transformer using hierarchical Attention for sequence learning with subquadratic costs.The encoder (non-autoregressive) flavor of this architecture currently holds the throne for Long Range Arena, a benchmark for efficient transformers.. 131k tokens 5 letter word finder hippotaylor swift lyon tickets Implementation of Axial attention - attending to multi-dimensional data efficiently - lucidrains/axial-attention the last of us wiki tv Our open-source text-replacement application and super time-saver Texter has moved its source code to GitHub with hopes that some generous readers with bug complaints or feature re...@inproceedings {Recasens2023ZorroTM, title = {Zorro: the masked multimodal transformer}, author = {Adri{\`a} Recasens and Jason Lin and Jo{\~a}o Carreira and Drew Jaegle and Luyu Wang and Jean-Baptiste Alayrac and Pauline Luc and Antoine Miech and Lucas Smaira and Ross Hemsley and Andrew Zisserman}, year = {2023}}Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorch