Pinned Repositories
acdc-torch
ACDC: A Structured Efficient Linear Layer
ALISTA
[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
bispectral-networks
complex
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
cwn
Message Passing Neural Networks for Simplicial and Cell Complexes
darknet
deepxde
A library for scientific machine learning and physics-informed learning
dl_signal
Deep Learning Model for Signal Data
mk_mlutils
Utilities for training ML models within pytorch, mostly batch sampling etc.
mannykao's Repositories
mannykao/mk_mlutils
Utilities for training ML models within pytorch, mostly batch sampling etc.
mannykao/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
mannykao/bispectral-networks
mannykao/complex
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
mannykao/cwn
Message Passing Neural Networks for Simplicial and Cell Complexes
mannykao/darknet
mannykao/deepxde
A library for scientific machine learning and physics-informed learning
mannykao/harmonic-net-pytorch
mannykao/pytorch-lmu
A PyTorch implementation of Legendre Memory Units (LMUs) and its FFT variant
mannykao/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
mannykao/fnl_paper
Factorized Neural Layers
mannykao/fourierft
mannykao/FourierKAN
mannykao/FusedFourierKAN
C++ and Cuda ops for fused FourierKAN
mannykao/gdl_tutorial_turinginst
Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute
mannykao/harmonicConvolutions
Deep Translation and Rotation Equivariance
mannykao/hqq
Official implementation of Half-Quadratic Quantization (HQQ)
mannykao/KnowledgeGraphEmbedding
mannykao/liquid-s4
Liquid Structural State-Space Models
mannykao/OutEffHop
[ICML 2024] Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
mannykao/parla
Python Algorithms for Randomized Linear Algebra
mannykao/PiSSA
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
mannykao/pykan
Kolmogorov Arnold Networks
mannykao/S5
mannykao/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
mannykao/SmallDataSSL
[ICIP 2023] Exploring Self-Supervised Learning for Low-Resource Medical Image Analysis, IEEE Intl. Conf. on Image Processing (ICIP), 2023 (accepted)
mannykao/SparseModernHopfield
[NeurIPS 2023] "On Sparse Modern Hopfield Model"
mannykao/structured-nets
Structured matrices for compressing neural networks
mannykao/tensorly
TensorLy: Tensor Learning in Python.
mannykao/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.