Lucidrains github.

Implementation of Metaformer, but in an autoregressive manner - lucidrains/metaformer-gptImplementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch - lucidrains/Adan-pytorchImplementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-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 …This 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 …

An implementation of local windowed attention, which sets an incredibly strong baseline for language modeling. It is becoming apparent that a transformer needs local attention in the bottom layers, with the top layers reserved for global attention to integrate the findings of previous layers.

An implementation of Global Self-Attention Network, which proposes an all-attention vision backbone that achieves better results than convolutions with less parameters and compute.. They use a previously discovered linear attention variant with a small modification for further gains (no normalization of the queries), paired with relative positional attention, …

Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI - lucidrains/hourglass-transformer-pytorch.Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch - lucidrains/video-diffusion-pytorch Update: seems to work for my local enwik8 autoregressive language modeling. Update 2: experiments, seems much worse than Adam if learning rate held constant. Update 3: Dividing the learning rate by 3, seeing better early results than Adam. lucidrains’s gists · GitHub. All gists 27. Starred 7. Sort: Recently created. 1 file. 0 forks. 0 comments. 0 stars. lucidrains / vit_with_mask.py. Created 2 years ago. ViT, but you …

Implementation of the Point Transformer layer, in Pytorch - lucidrains/point-transformer-pytorch

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI - lucidrains/self-rewarding-lm-pytorch

Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch - lucidrains/metnet3-pytorch import torch from toolformer_pytorch import Toolformer, PaLM # simple calendar api call - function that returns a string def Calendar (): import datetime from calendar import day_name, month_name now = datetime. datetime. now () return f'Today is {day_name [now. weekday ()]}, {month_name [now. month]} {now. day}, {now. year}.' # prompt for teaching it to use the Calendar function from above ... A simple but complete full-attention transformer with a set of promising experimental features from various papers - Releases · lucidrains/x-transformersImplementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorchImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch ...Implementation of MagViT2 from Language Model Beats Diffusion - Tokenizer is Key to Visual Generation in Pytorch. This currently holds SOTA for video generation / understanding. The Lookup Free Quantizer proposed in the paper can be found in a separate repository. It should probably be explored for all other modalities, …

Implementation of the video diffusion model and training scheme presented in the paper, Flexible Diffusion Modeling of Long Videos, in Pytorch.While the Unet architecture does not look that novel (quite similar to Space-time factored unets, where they do attention across time) they achieved up to 25 minutes of coherent video with their specific frame sampling …Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorchWorking with Attention. It's all we need. lucidrains has 246 repositories available. Follow their code on GitHub. Implementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-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 Dreamcraft3D, 3D content generation in Pytorch - lucidrains/dreamcraft3d-pytorch

lucidrains Apr 19, 2023 Maintainer @gkucsko yea, i think it is nearly there 😄 various researchers have emailed me saying they are using it, but we could use some open sourced model in different domains

Implementation of ST-MoE, the latest incarnation of mixture of experts after years of research at Brain, in Pytorch.Will be largely a transcription of the official Mesh Tensorflow implementation.If you have any papers you think should be added, while I have my attention on mixture of experts, please open an issue.Implementation 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.Free GitHub users’ accounts were just updated in the best way: The online software development platform has dropped its $7 per month “Pro” tier, splitting that package’s features b...If you’re in a hurry, head over to the Github Repo here or glance through the documentation at https://squirrelly.js.org. Or, check ou Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorch 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...

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch.They were able to elegantly fit in contrastive learning to a conventional encoder / decoder (image to text) transformer, achieving SOTA 91.0% top-1 accuracy on ImageNet with a finetuned encoder.

Implementation 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 the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding ...Implementation of ETSformer, state of the art time-series Transformer, in Pytorch - lucidrains/ETSformer-pytorch Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch - lucidrains/muse-maskgit-pytorch My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation - lucidrains/rvq-vae-gptImplementation of ResMLP, an all MLP solution to image classification, in Pytorch - lucidrains/res-mlp-pytorchExplorations into some recent techniques surrounding speculative decoding - lucidrains/speculative-decodingImplementation of Uformer, Attention-based Unet, in Pytorch. It will only offer the concat-cross-skip connection. This repository will be geared towards use in a project for learning protein structures. Specifically, it will include the ability to condition on time steps (needed for DDPM), as well as 2d relative positional encoding using rotary ... 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 Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch - lucidrains/voicebox-pytorch.Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some additional improvements - lucidrains/equiformer-diffusionLearn how to use Vision Transformer, a simple and efficient way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch. Explore the parameters, …Instagram:https://instagram. warframe late gameone com webmailpalm springs homes for sale zillowrv technician salary 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 Feedback Transformer in Pytorch. Contribute to lucidrains/feedback-transformer-pytorch development by creating an account on GitHub. the real rebecca j instagramthe old taylor shop Vector (and Scalar) Quantization, in Pytorch. Contribute to lucidrains/vector-quantize-pytorch development by creating an account on GitHub. extra storage unit An implementation of masked language modeling for Pytorch, made as concise and simple as possible - lucidrains/mlm-pytorch HenryLhc 7 hours ago. I used the codes in the jupyter notebook provided by @MarcusLoppe in the discussion section, and have successfully succeeded trained the …