Lucidrains github.

A Transformer made of Rotation-equivariant Attention using Vector Neurons - lucidrains/VN-transformer

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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 ... Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch - lucidrains/voicebox-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...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 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.Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch - Releases · lucidrains/CoCa-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 Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch ...Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch - lucidrains/metnet3-pytorchImplementation 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 ...Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch - lucidrains/g-mlp-pytorchBy the end of 2023, GitHub will require all users who contribute code on the platform to enable one or more forms of two-factor authentication (2FA). Here is some news that is both...

lucidrains 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 …

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 Dreamcraft3D, 3D content generation in Pytorch - lucidrains/dreamcraft3d-pytorchImplementation of Nvidia's NeuralPlexer, for end-to-end differentiable design of functional small-molecules and ligand-binding proteins, in Pytorch - lucidrains/neural-plexer-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 Stability.ai for the generous sponsorship to work and open source cutting edge artificial intelligence research. 🤗 Huggingface for their amazing accelerate and transformers libraries. MetaAI for Fairseq and the liberal license. @eonglints and Joseph for offering their professional advice and expertise as well as pull …Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch - lucidrains/MaMMUT-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch - lucidrains/g-mlp-pytorch.Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch - lucidrains/nuwa-pytorchI 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 …GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.lucidrains 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 …

Some 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 …

NAME imagine SYNOPSIS imagine TEXT < flags > POSITIONAL ARGUMENTS TEXT (required) A phrase less than 77 tokens which you would like to visualize. FLAGS --img=IMAGE_PATH Default: None Path to png/jpg image or PIL image to optimize on --encoding=ENCODING Default: None User-created custom CLIP …Working with Attention. It's all we need. lucidrains has 246 repositories available. Follow their code on GitHub. A paper by Jinbo Xu suggests that one doesn't need to bin the distances, and can instead predict the mean and standard deviation directly. You can use this by turning on one flag predict_real_value_distances, in which case, the distance prediction returned will have a dimension of 2 for the mean and standard deviation respectively. it turns out cuda kernel version works, but naive flash attention bac… Force push. lucidrainsforce pushed to main • 045d61c…df48d4d •. 5 days ago ...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.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.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 TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorch

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch - lucidrains/meshgpt-pytorch

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-perceptronImplementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding ...StabilityAI, A16Z Open Source AI Grant Program, and 🤗 Huggingface for the generous sponsorships, as well as my other sponsors, for affording me the independence to open source current artificial intelligence research. Einops for making my life easy. Marcus for the initial code review (pointing out some missing derived features) as …Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention - lucidrains/sinkhorn-transformerImplementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two - lucidrains/lightweight-gan. Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI - lucidrains/self-rewarding-lm-pytorch 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 Soft MoE (Mixture of Experts), proposed by Brain's Vision team, in Pytorch.. This MoE has only been made to work with non-autoregressive encoder. However, some recent text-to-image models have started using MoE with great results, so may be a fit there.. If anyone has any ideas for how to make it work for …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. …StabilityAI and 🤗 Huggingface for the generous sponsorship, as well as my other sponsors, for affording me the independence to open source artificial intelligence.. 🤗 Huggingface for their accelerate library. All the maintainers at OpenClip, for their SOTA open sourced contrastive learning text-image models. Xavier for the very …

Usable implementation of Mogrifier, a circuit for enhancing LSTMs and potentially other networks, from Deepmind - lucidrains/mogrifier Implementation of GateLoop Transformer in Pytorch and Jax - lucidrains/gateloop-transformer Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorchJust some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research - lucidrains/pytorch-custom-utilsInstagram:https://instagram. hinge skyrim idsadlier vocabulary workshop level f answers unit 2craigslist musicians nashvillet mobile store schedule 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. capital one pay billfirestone ac check cost fix the forced weight norms for magnitude preserving layers · export the magnitude preserving temporal layers · update readme · cleanup · Karras shows d...Implementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorch purple mattress reddit 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/lucidrains.github.io. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.