HHHit

HHHit's Stars

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.7k4162944.3k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15k1134001.4k

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.3k561921.2k

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7k49214534

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python6.9k73123778

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k62510658

• mne-tools/mne-python

  MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

  Language:Python2.7k834.8k1.3k

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k2338374

• pprp/awesome-attention-mechanism-in-cv

  Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

  Language:Python1.1k164164

• sccn/eeglab

  EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

  Language:MATLAB60226724242

• torcheeg/torcheeg

  TorchEEG is a library built on PyTorch for EEG signal analysis.

  Language:Python37766453

• bjoern-andres/graph

  Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts

  Language:C++237241488

• abhi4ssj/few-shot-segmentation

  PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

  Language:Python1034615

• redevaaa/Transformer-for-EEG

  modify self-attention model for EEG signal as input and image embedding layer as output

  Language:Python1002116

• atonkamanda/awesome-ai-brain-computer-interface

  Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.

  73404

• Mirebeau/HamiltonFastMarching

  Compute shortest paths w.r.t. riemannian metrics, and curvature penalized models.

  Language:Mathematica485515

• Apollys/EPI-Variants-Solutions

  Solutions to Elements of Programming Interviews Variant Problems

  Language:C++401710

• NeuSpeech/awesome-brain-decoding

  collection of awesome research in brain decoding, including interaction with multi-modalities, theories, and foundation models.

  37102

• mishgon/vox2vec

  This repository is the official implementation of vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images

  Language:Python23254

• aAbdz/CylShapeDecomposition

  Cylindrical Shape Decomposition

  Language:Python16225

• inferno-pytorch/neurofire

  Toolkit for deep learning with connectomics datasets.

  Language:Python8905

• markschoene/MeLeCoLe

  Metric learning and contrastive learning for neuron segmentation

  Language:Python7100

• Levishery/Flywire-Neuron-Tracing

  Language:Python5100

• yu-lab-vt/NIS3D

  A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation

  Language:MATLAB5101

• zhangchih/MorphConNet

  Language:Jupyter Notebook5100

• VCG/guidedproofreading

  Guided Proofreading of Automatic Segmentations for Connectomics

  Language:Jupyter Notebook41312

• LiuBiophotonicsLab/Bead_PSF_computation

  Computes the PSF of an optical sectioning microscope from a 3D bead phantom

  Language:Jupyter Notebook310

• kreshuklab/shallow2deep

  Shallow2deep: Exploiting feature-based classifiers for domain adaptation in semantic segmentation

  Language:Jupyter Notebook2101

• DaChen0819/CurvaturePriorElasticaModel

  Computing optimal curves which globally minimize a variant of Euler-Mumford elastica bending energy embedding with a curvature prior term.

  Language:C++1101

• Hanyu-Li/EM_mask

  ffn compatible mask prediction models

  Language:Python1201