Lucidrains github.
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.
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2 - lucidrains/graph-transformer-pytorchGitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch - lucidrains/metnet3-pytorch Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs - lucidrains/BS-RoFormer 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.
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module - lucidrains/invariant-point-attentionImplementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones - lucidrains/halonet-pytorchImplementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch - lucidrains/enformer-pytorch
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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 Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robotics. What seemed to have happened is that a research group at Columbia adapted the popular SOTA text-to-image models (complete with denoising diffusion with cross attention conditioning) to policy generation (predicting …Implementation of the Mega layer, the Single-head Attention with Multi-headed EMA layer that exists in the architecture that currently holds SOTA on Long Range Arena, beating S4 on Pathfinder-X and all the other tasks save for audio.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 Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models - lucidrains/classifier-free-guidance-pytorch
A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch - lucidrains/gradnorm-pytorch
Fabian's recent paper suggests iteratively feeding the coordinates back into SE3 Transformer, weight shared, may work. I have decided to execute based on this idea, even though it is still up in the air how it actually works. You can also use E(n)-Transformer or EGNN for structural refinement.. Update: Baker's lab have shown …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.This project has not set up a SECURITY.md file yet. There aren't any published security advisories ...Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis - lucidrains/medical-chatgptHenryLhc 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 Segformer, Attention + MLP neural network for segmentation, in Pytorch - lucidrains/segformer-pytorch 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 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, starting with audio. 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 ... 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...A concise but complete implementation of CLIP with various experimental improvements from recent papers - Releases · lucidrains/x-clip
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 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 AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch - Releases · lucidrains/audiolm-pytorchImplementation 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 ...Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch - lucidrains/musiclm-pytorchout = 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 MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch - lucidrains/MEGABYTE-pytorchImplementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet. The new method utilizes λ layer, which captures interactions by transforming contexts into linear functions, termed lambdas, and applying these linear functions to each input separately.
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 …
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Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition" - lucidrains/hamburger-pytorchVector Quantization - Pytorch. A vector quantization library originally transcribed from Deepmind's tensorflow implementation, made conveniently into a package.In today’s digital age, it is essential for professionals to showcase their skills and expertise in order to stand out from the competition. One effective way to do this is by crea... Implementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorch 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.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, …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 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, starting with audio. Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch - lucidrains/MEGABYTE-pytorchExplorations 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 …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.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...
Saved searches Use saved searches to filter your results more quicklyGitHub 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... 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. Instagram:https://instagram. 2172 white oval pillsmiths beabulls photosnavy federal credit union mailing addresswww.lifeprint.com 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 … competive tftgame master backrooms r34 Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some additional improvements - lucidrains/equiformer-diffusionimport 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 … leanansidhe pronunciation Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch - lucidrains/video-diffusion-pytorchit turns out cuda kernel version works, but naive flash attention bac… Force push. lucidrainsforce pushed to main • 045d61c…df48d4d •. 5 days ago ...Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention - lucidrains/sinkhorn-transformer