Use transfer learning for large image classification

Fast and Accurate ML in 3 Lines of Code

autoupdate paper list

This project's aim is to categorize retail products from their images. MobileNetV2 model fine-tuned with 18K retail product images accross 9 categories. Project deployed with Flask and containerized via docker

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker

Collection of awesome parameter-efficient fine-tuning resources.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Pytorch implementations of domain invariant representation learning algos in unsupervised domain adaptation problem. In the absence of a license, default copyright laws apply. Please note this ongoing project.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Deep learning project. Classifying sjogren's syndrom from ultra-sound images.

Experiments for channel-based Structured Pruning Adapters

Medical Diagnosis using Contrastive Learning

Files relevant for my bachelor thesis on different automatic emotion recognition approaches