Lucidrains github.
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 …
Earlier this year, Trello introduced premium third-party integrations called power-ups with the likes of GitHub, Slack, Evernote, and more. Today, those power-ups are now available...Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two - GitHub - …Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI - lucidrains/hourglass-transformer-pytorch. 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 ...
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.
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 ... Todo · allow for local attention to be automatically included, either for grouped attention, or use LocalMHA from local-attention repository in parallel, ...
Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GansFormer and TransGan paper. It will also contain a bunch of tricks I have picked up building transformers and GANs for the last year or so, including efficient linear attention and pixel level attention.It's all we need. lucidrains has 282 repositories available. Follow their code on GitHub.A new paper proposes that the best way to condition a Siren with a latent code is to pass the latent vector through a modulator feedforward network, where each layer's hidden state is elementwise multiplied with the corresponding layer of the Siren.. You can use this simply by setting an extra keyword latent_dim, on the SirenWrapper You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window.
Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction" - lucidrains/kalman-filtering-attention
out = attn ( x, mask = mask ) assert out. shape == x. shape. For a full fledged linear transformer based on agent tokens, just import AgentTransformer. import torch from agent_attention_pytorch import AgentTransformer transformer = AgentTransformer (. dim = 512 , depth = 6 , num_agent_tokens = 128 ,
Implementation of the convolutional module from the Conformer paper, for use in Transformers - GitHub - lucidrains/conformer: Implementation of the convolutional …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 '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 AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch - Releases · lucidrains/audiolm-pytorchStabilityAI, 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 …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 Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorchImplementation of Hourglass Transformer, in Pytorch, from Google and OpenAI - lucidrains/hourglass-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 …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... Implementation of Flash Attention in Jax. Contribute to lucidrains/flash-attention-jax development by creating an account on GitHub. Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorch
An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch - lucidrains/phasic-policy-gradient
@lucidrains lucidrains Phil Wang · @khanrc khanrc Junbum Cha (logan.cha). Languages. Python 100.0%. Footer. © 2024 GitHub, Inc. Footer navigation. Terms ...@lucidrains lucidrains Phil Wang · @khanrc khanrc Junbum Cha (logan.cha). Languages. Python 100.0%. Footer. © 2024 GitHub, Inc. Footer navigation. Terms ...Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch - lucidrains/tableformer-pytorchtraining data #39. training data. #39. Open. 23Rj20 opened this issue 15 minutes ago · 0 comments. @inproceedings {qtransformer, title = {Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions}, authors = {Yevgen Chebotar and Quan Vuong and Alex Irpan and Karol Hausman and Fei Xia and Yao Lu and Aviral Kumar and Tianhe Yu and Alexander Herzog and Karl Pertsch and Keerthana Gopalakrishnan and Julian Ibarz and Ofir Nachum and Sumedh Sontakke and Grecia Salazar ... 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 …@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 …By 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 the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding ...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 Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch - lucidrains/retrieval-augmented-ddpm
Implementation of ProteinBERT in Pytorch. Contribute to lucidrains/protein-bert-pytorch development by creating an account on 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. @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 and Sasha Tsvyashchenko and Joshua Maynez and Abhishek Rao and Parker ... 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 Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch - lucidrains/muse-maskgit-pytorch 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 … import torch from ema_pytorch import EMA # your neural network as a pytorch module net = torch. nn. Linear (512, 512) # wrap your neural network, specify the decay (beta) ema = EMA ( net, beta = 0.9999, # exponential moving average factor update_after_step = 100, # only after this number of .update() calls will it start updating update_every = 10, # how often to actually update, to save on ... GitHub Projects is a powerful project management tool that can greatly enhance team collaboration and productivity. Whether you are working on a small startup project or managing a...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 …Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design - lucidrains/tr-rosetta-pytorchImplementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorchImplementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch.The author unawaredly reinvented the induced set-attention block from the set transformers paper. They also combine this with the self-conditioning technique from the Bit Diffusion paper, specifically for the latents.Implementation of Nyström Self-attention, from the paper Nyströmformer - lucidrains/nystrom-attention
GitHub Projects is a powerful project management tool that can greatly enhance team collaboration and productivity. Whether you are working on a small startup project or managing a...Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch - lucidrains/tableformer-pytorchGitHub today announced that all of its core features are now available for free to all users, including those that are currently on free accounts. That means free unlimited private...Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module - lucidrains/invariant-point-attentionInstagram:https://instagram. taylor swift eras tourssound of freedom wikipedialittle caesars hiring payolive garden employee krowd Implementation of Memformer, a Memory-augmented Transformer, in Pytorch. It includes memory slots, which are updated with attention, learned efficiently through Memory-Replay BackPropagation (MRBP) through time.Implementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorch rural king guns van wertpiece of skyscale food My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation - lucidrains/rvq-vae-gpt Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research - lucidrains/pytorch-custom-utils red sox minor lines Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch - lucidrains/voicebox-pytorch Earlier this year, Trello introduced premium third-party integrations called power-ups with the likes of GitHub, Slack, Evernote, and more. Today, those power-ups are now available...