Lucidrains github.
A simple cross attention that updates both the source and target in one step. The key insight is that one can do shared query / key attention and use the attention matrix twice to update both ways. Used for a contracting project for predicting DNA / protein binding here.
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 …Implementation of Agent Attention in Pytorch. Contribute to lucidrains/agent-attention-pytorch development by creating an account on GitHub.GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.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 GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs - Releases · lucidrains/gigagan-pytorch Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs - lucidrains/BS-RoFormer
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch - lucidrains/recurrent-memory-transformer-pytorchImplementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch - lucidrains/Adan-pytorch
lucidrains/bottleneck-transformer-pytorch This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. main Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorch lucidrains/lsh_attention.py. Last active. January 7, 2020 18:11. Star. 0. Fork. 0. Star. Code. Revisions. 2. Embed. What would you like to do? Embed. Embed this gist …Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch - lucidrains/video-diffusion-pytorch
Sign in to comment. Thanks for your clean implementation sharing. I try on celeba datasets. After 150k steps, the generated images are not well as it claimed in the paper and the flowers you show in the readme.
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute - GitHub - lucidrains/lambda-networks: Implementation of …
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. 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.Vimeo, Pastebin.com, and Weebly have also been affected. The Indian government has blocked a clutch of websites—including Github, the ubiquitous platform that software writers use ...Implementation of Spear-TTS - multi-speaker text-to-speech attention network, in Pytorch - lucidrains/spear-tts-pytorchHow can I create one GitHub workflow which uses different secrets based on a triggered branch? The conditional workflow will solve this problem. Receive Stories from @hungvu Get fr...
Hi, I am experiencing some difficulties during the training of magvit2. I don't know if I made some mistakes somewhere or where the problem might be coming from. It seems that my understanding of the paper might me be erroneous, I tried with 2 codebooks of size 512 and I can't seem to fit the training data. The training is really unstable.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.7. yolov5. #216 opened on Jul 26, 2023 by fangwei888. 1. AssertionError: only one Trainer can be instantiated at a time for training. #215 opened on Jul 25, 2023 by tiansiyuan. 1. Questions about training Soundstream: poor intelligibility and gradients explosion after 10k steps. (sr=16k, B=96) #204 opened on Jun 29, 2023 by Makiyuyuko.@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 Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch - lucidrains/neural-plexer-pytorchA 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 Lie Transformer, Equivariant Self-Attention, in Pytorch - lucidrains/lie-transformer-pytorch
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch - Releases · lucidrains/soundstorm-pytorch
A simple but complete full-attention transformer with a set of promising experimental features from various papers - Releases · lucidrains/x-transformerslucidrains has continued to update his Big Sleep GitHub repo recently, and it's possible to use the newer features from Google Colab. I tested some of the newer features using …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. Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch - lucidrains/parti-pytorch Stability and 🤗 Huggingface for their generous sponsorships to work on and open source cutting edge artificial intelligence research. Lucas Newman for numerous contributions, including the initial training code, acoustic prompting logic, per-level quantizer decoding!. 🤗 Accelerate for providing a simple and powerful solution for training. Einops for the … Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorch Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch - lucidrains/mirasol-pytorchA new paper from Kaiming He suggests that BYOL does not even need the target encoder to be an exponential moving average of the online encoder. I've decided to build in this option so that you can easily use that variant for training, simply by setting the use_momentum flag to False.You will no longer need to invoke …Implementation of TimeSformer, from Facebook AI.A pure and simple attention-based solution for reaching SOTA on video classification. This repository will only house the best performing variant, 'Divided Space-Time Attention', which is nothing more than attention along the time axis before the spatial.
An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch - lucidrains/phasic-policy-gradient
Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch - lucidrains/nuwa-pytorch
A repository with exploration into using transformers to predict DNA ↔ transcription factor binding - lucidrains/tf-bind-transformerImplementation of the convolutional module from the Conformer paper, for use in Transformers - GitHub - lucidrains/conformer: Implementation of the convolutional …This repository gives an overview of the awesome projects created by lucidrains that we as LAION want to share with the community in order to help people …This repository gives an overview of the awesome projects created by lucidrains that we as LAION want to share with the community in order to help people … Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch - lucidrains/musiclm-pytorch A vector quantization library originally transcribed from Deepmind's tensorflow implementation, made conveniently into a package. It uses exponential moving averages to update the dictionary. VQ has been successfully used by Deepmind and OpenAI for high quality generation of images (VQ-VAE-2) and music (Jukebox). Implementation of Agent Attention in Pytorch. Contribute to lucidrains/agent-attention-pytorch development by creating an account on GitHub.Explorations into the Taylor Series Linear Attention proposed in the paper Zoology: Measuring and Improving Recall in Efficient Language Models. This repository will offer full self attention, cross attention, and autoregressive via CUDA kernel from pytorch-fast-transformers.. Be aware that in linear attention, the quadratic is …
Implementation of the Point Transformer layer, in Pytorch - lucidrains/point-transformer-pytorchImplementation of Spear-TTS - multi-speaker text-to-speech attention network, in Pytorch - lucidrains/spear-tts-pytorch Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement - lucidrains/stylegan2-pytorch Implementation of ProteinBERT in Pytorch. Contribute to lucidrains/protein-bert-pytorch development by creating an account on GitHub. Instagram:https://instagram. taylor swift mexico merchtexas pick 3 lotto winning numberswww koreanair comtarget orange blossom trail Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch - lucidrains/lumiere-pytorch vascular ultrasound technologist salarytherealrebeccaj mega Working with Attention. It's all we need. lucidrains has 246 repositories available. Follow their code on GitHub.Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch - lucidrains/perceiver-pytorch. download upmc medicare flex app @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 …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.@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 …