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knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

kudataclassification

kudataforecasting

kudataregression

kudatarepresentation

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

ladder-networks-for-sign-languages

The project aims to demonstrate the ability of ladder networks to translate sign languages into text while using lesser data than the traditional models.

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

lf2cs

The code of Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

mamba-yolo

the official pytorch implementation of “Mamba-YOLO：SSMs-based for Object Detection”

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

meta-weight-net_code-optimization

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

mixmatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

mtlearn

Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)

multi-domain-imbalance

[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

obsidian-annotator

A plugin for reading and annotating PDFs and EPUBs in obsidian.

one-peace

A general representation modal across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

openvino_opencv

Various different examples (image classification, object detection and image segmentation) of using OpenVINO with OpenCV

ordinalentropy

packnet

Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

packnet-continual-learning

The PackNet Continual Learning Method in Pytorch

parametric-contrastive-learning

Parametric Contrastive Learning (ICCV2021)

path-sgd

Path-SGD: Path-Normalized Optimization in Deep Neural Networks

piggyback

Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

prml-labs

labs for PRML

pycontinual

PyContinual (An Easy and Extendible Framework for Continual Learning)

pytorch-scarf

Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspired from SimCLR and uses a similar architecture and loss.

pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch