HouyiDu

HouyiDu's Stars

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++15.7k895

• keras-team/keras-core

  A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

  Language:Python1.3k115

• brendenlake/omniglot

  Omniglot data set for one-shot learning

  Language:MATLAB1.3k361

• Runist/MAML-keras

  Using keras and tf build MAML

  Language:Python5118

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.5k599

• google/jax

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

  Language:Python29.1k2.7k

• SimplifyJobs/Summer2025-Internships

  Collection of Summer 2025 tech internships!

  31.6k2.6k

• enajx/HebbianMetaLearning

  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

  Language:Python12623

• smonsays/contrastive-meta-learning

  Code accompanying the paper "A contrastive rule for meta-learning"

  Language:Python10

• BayesWatch/deep-kernel-transfer

  Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

  Language:Python19429

• NeuralDynamicsAndComputing/MetaLearning-Plasticity

  Git repo for the paper "Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways."

  Language:Python73

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook9.2k909

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.1k3.4k

• lilianweng/transformer-tensorflow

  Implementation of Transformer Model in Tensorflow

  Language:Python43584

• p-koo/learning_sequence_motifs

  "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy

  Language:Python3113

• gdewael/cpg-transformer

  CpG Transformer for imputation of single-cell methylomes

  Language:Python3410

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3k525

• gstrezoski/TaskRouting

  (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html

  Language:Python6416

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66k9k

• tianheyu927/PCGrad

  Code for "Gradient Surgery for Multi-Task Learning"

  Language:Python29235

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.4k7.8k

• tstandley/taskgrouping

  Code for Which Tasks Should Be Learned Together in Multi-task Learning?

  Language:Python9114

• sunxm2357/AdaShare

  AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

  Language:Python11116

• p-koo/exponential_activations

  "Improving representations of genomic sequence motifs in convolutional networks with exponential activations" by Koo and Ploenzke (https://doi.org/10.1101/2020.06.14.150706)

  Language:Jupyter Notebook36

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.2k986

• cangermueller/deepcpg

  Deep neural networks for predicting CpG methylation

  Language:Python14368

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX21.5k2.8k

• gifford-lab/CpGenie

  Language:Python117

• delta2323/GB-GNN

  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks

  Language:Jupyter Notebook134

• shenzebang/fed_functional_gradient

  Language:Python3