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benchmark_sgcn_pytorch

boostresnet

A PyTorch implementation of BoostResNet

cluster-loss-tensorflow

This a an impletation of Deep Metric Learning via Facility Location on tensorflow

congweilin.io

convolution_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

coupled_fl

deep-variance-reduction

On the Ineffectiveness of Variance Reduced Optimization for Deep Learning

deep_ranking

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dgcn

dyformer

fast-individual-gradients-with-autodiff

fedgen

Code and data accompanying the FedGen paper

fedmd

FedMD: Heterogenous Federated Learning via Model Distillation

fmtl

Federated Multi-Task Learning

graphmixer

graphsaint

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

incremental-svm-learning-in-matlab

This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

llcg-ogb-pytorch

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

mvs_gcn

online-variance-reduction

Online Variance Reduction

permutohedral_lattice

Permutohedral Lattice C++/CUDA implementation + TensorFlow Op (CPU/GPU)

personalized_fl

ppo-pytorch

Simple and beginner friendly implementation of Proximal Policy Optimization (PPO) in PyTorch

projector

AISTATS23: Graph Representation Unlearning via Orthogonal Projection