Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.
-
Updated
Jun 12, 2024
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.
Collection of awesome test-time (domain/batch/instance) adaptation methods
[ICML 2024] Let Go of Your Labels with Unsupervised Transfer
Master Thesis on Analyzing Slot and Intent Detection for Upper German Dialects via Zero-Shot Transfer Learning
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Files relevant for my bachelor thesis on different automatic emotion recognition approaches
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
autoupdate paper list
Fast and Accurate ML in 3 Lines of Code
Artificial Intelligence model trained with a CNN to detect fake images generated with AI using Deep learning.
Code for Zero-Shot Tokenizer Transfer
Self trained | transfer learning | AI built using Tensor flow
This repository consists of the implementation of the paper "Automatic Ellipsis Reconstruction in Coordinated German Sentences based on Text-To-Text Transfer Transformers" which is accepted at 27th International Conference on Text, Speech and Dialogue.
TensorFlow 101: Introduction to Deep Learning
Study and review papers of journals and conferences.
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
An open-source library for recognition of speech commands in the user dictionary using audiovisual data of the speaker
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.
Detection and Classification of tomato diseases for farmers in Nigeria using cutting-edge convolution neural networks (CNN) and leveraging the power of VGG19 model as a transfer model.
Add a description, image, and links to the transfer-learning topic page so that developers can more easily learn about it.
To associate your repository with the transfer-learning topic, visit your repo's landing page and select "manage topics."