Lucidrains github.

Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch - lucidrains/recurrent-memory-transformer-pytorch.Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch - lucidrains/g-mlp-pytorchImplementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch - lucidrains/recurrent-memory-transformer-pytorch Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch - lucidrains/meshgpt-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 …

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 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-chatgpt 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 ...

Implementation of Spear-TTS - multi-speaker text-to-speech attention network, in Pytorch - lucidrains/spear-tts-pytorch

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute - GitHub - lucidrains/lambda-networks: Implementation of …Implementation of Metaformer, but in an autoregressive manner - lucidrains/metaformer-gptGitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.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 …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 Spear-TTS - multi-speaker text-to-speech attention network, in Pytorch - lucidrains/spear-tts-pytorch

Phil Wang lucidrains · All gists 27 · Starred 7. Sort: Recently ...

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 …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...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. 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 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 ...

@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 …A simple but complete full-attention transformer with a set of promising experimental features from various papers - Releases · lucidrains/x-transformers.Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorchImplementation of TabTransformer, attention network for tabular data, in Pytorch - lucidrains/tab-transformer-pytorchImplementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorchIn 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...

@misc {tolstikhin2021mlpmixer, title = {MLP-Mixer: An all-MLP Architecture for Vision}, author = {Ilya Tolstikhin and Neil Houlsby and Alexander Kolesnikov and Lucas Beyer and Xiaohua Zhai and Thomas Unterthiner and Jessica Yung and Daniel Keysers and Jakob Uszkoreit and Mario Lucic and Alexey Dosovitskiy}, …Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch - lucidrains/perceiver-pytorch.

Implementation of Feedback Transformer in Pytorch. Contribute to lucidrains/feedback-transformer-pytorch development by creating an account on GitHub. 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 ... @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 …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 Feedback Transformer in Pytorch. Contribute to lucidrains/feedback-transformer-pytorch development by creating an account on GitHub.Implementation of Feedback Transformer in Pytorch. Contribute to lucidrains/feedback-transformer-pytorch development by creating an account on GitHub. Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorch 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-chatgptImplementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch - lucidrains/nuwa-pytorch

A 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.

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.

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 …@inproceedings {rt12022arxiv, title = {RT-1: Robotics Transformer for Real-World Control at Scale}, author = {Anthony Brohan and Noah Brown and Justice Carbajal and Yevgen Chebotar and Joseph Dabis and Chelsea Finn and Keerthana Gopalakrishnan and Karol Hausman and Alex Herzog and Jasmine Hsu and Julian Ibarz and Brian Ichter and Alex … 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 My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation - lucidrains/rvq-vae-gptImplementation 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 ProteinBERT in Pytorch. Contribute to lucidrains/protein-bert-pytorch development by creating an account on GitHub.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 Parti, Google's pure attention-based text-to-image neural network, in Pytorch - lucidrains/parti-pytorch

An implementation of masked language modeling for Pytorch, made as concise and simple as possible - lucidrains/mlm-pytorchImplementation of a U-net complete with efficient attention as well as the latest research findings - x-unet/setup.py at main · lucidrains/x-unet.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 domainsInstagram:https://instagram. naruot rule 34windy bee bsspeyton coffee nude leakarby's menu deals An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch - lucidrains/phasic-policy-gradient bazi calculator joey yap 2023what time does family dollar close sunday Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind - lucidrains/CALM-pytorchFabian'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 … lars nootbaar pepper grinder gif 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. An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch - lucidrains/phasic-policy-gradientImplementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch - lucidrains/video-diffusion-pytorch