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Phil Wang's Projects

g-mlp-pytorch icon g-mlp-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch

gated-state-spaces-pytorch icon gated-state-spaces-pytorch

Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch

geometric-vector-perceptron icon geometric-vector-perceptron

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

gigagan-pytorch icon gigagan-pytorch

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

glom-pytorch icon glom-pytorch

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data

gradnorm-pytorch icon gradnorm-pytorch

A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch

h-transformer-1d icon h-transformer-1d

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

halonet-pytorch icon halonet-pytorch

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

hamburger-pytorch icon hamburger-pytorch

Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"

htm-pytorch icon htm-pytorch

Implementation of Hierarchical Transformer Memory (HTM) for Pytorch

hyena-dna icon hyena-dna

Fork of HyenaDNA, a long-range genomic foundation model built with Hyena

imagen-pytorch icon imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

invariant-point-attention icon invariant-point-attention

Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module

isab-pytorch icon isab-pytorch

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

itransformer icon itransformer

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

ittr-pytorch icon ittr-pytorch

Implementation of the Hybrid Perception Block and Dual-Pruned Self-Attention block from the ITTR paper for Image to Image Translation using Transformers

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kalman-filtering-attention icon kalman-filtering-attention

Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"

keops icon keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

lambda-networks icon lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

lb_pool icon lb_pool

HTTP client load balancer with retries

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