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effects-of-image-quality-on-deep-nueral-network-paper-code

egads

A Java package to automatically detect anomalies in large scale time-series data

embarrassingly-simple-zero-shot-learning

This is a started/demo code for Zero-Shot-Learning via implementation of Embarrassingly simple ZSL (ICML 2015)

embracenet

Robust multimodal integration method implemented in PyTorch and TensorFlow

emlearn

Machine Learning inference engine for Microcontrollers and Embedded devices

emotion-recognition

Emotion recognition from speech - Android

emotion-recognition-rnn

Recurrent Neural Networks for Emotion Recognition in Video

ensemble-learning-blog

Ensemble Learning — Bagging, Boosting, Stacking and Cascading Classifiers in Machine Learning using SKLEARN and MLEXTEND libraries.

ensemble-of-multi-scale-cnn-for-dermatoscopy-classification

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

examples

Example deep learning projects that use wandb's features.

expandnets

Implementation of ExpandNets

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

f2md

Framework For Misbehavior Detection in C-ITS (ITS-G5 & C-V2X)

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

fashion-zero-shot-detection-dataset

Fashion-ZSD dataset of the "Zero-Shot Object Detection by Hybrid Region Embedding".

featureimportancedl

fedavgpy

On the Convergence of FedAvg on Non-IID Data

federated-learning

Federated Learning - PyTorch

federated-learning-1

tf implementation of federated learning

fedma

Code for Federated Learning with Matched Averaging, ICLR 2020.

fedprox

Federated Optimization in Heterogeneous Networks (MLSys '20)

fewshot_ensemble

Ensembles of CNNs for few-shot image classification

fewshotwithoutforgetting

fightingcv-paper-reading

⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

fixmatch

A simple method to perform semi-supervised learning with limited data.

fixmatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

fogml

frame-level-anomalies-in-videos

Frame level anomaly detection and localization in videos using auto-encoders

fsl-imprinted-weights