proglearn
NeuroData's package for exploring and using progressive learning algorithms
torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
finetuning-scheduler
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
seismic-transfer-learning
Deep-learning seismic facies on state-of-the-art CNN architectures
aptv2
The official repo for the extension of [NeurIPS'22] "APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking": https://github.com/pandorgan/APT-36K
monkeypox-skin-lesion-classification-using-transfer-learning-approach
Official Code Files For My Research Paper Presented at 4th IEEE Bombay Section Signature Conference (IBSSC-2022). Paper Published in IEEEXplore.
medfm_submission_only
Solution for NeurIPS 2023 - MedFM Challenge
rocknet
Rockfall and earthquake detection and association via multitask learning and transfer learning
automatic-detection-of-lumpy-skin-disease-using-deep-learning-techniques
Independent Research Project on Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques.
https://github.com/cedrickchee/awesome-transformer-nlp
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
efficient-task-transfer
Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021
peoplesanspeople
Unity's privacy-preserving human-centric synthetic data generator
itclust
Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
https://github.com/bminixhofer/tokenkit
A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.
https://github.com/deepset-ai/farm
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
https://github.com/ai-forever/digital_peter_aij2020
Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01
https://github.com/ammarlodhi255/crack-informed-yolov9-for-multi-locale-bone-fracture-detection
This repository contains the implementation code of the paper "Small Data, Big Impact: A Multi-Locale Bone Fracture Detection on an Extremely Limited Dataset Via Crack-Informed YOLOv9 Variants"
https://github.com/explosion/spacy-transformers
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
https://github.com/ai-forever/ner-bert
BERT-NER (nert-bert) with google bert https://github.com/google-research.
primme
The repository for the Physics-Regulated Interpretable Machine Learning Microstructure Evolution (PRIMME) framework for learning and emulating microstructure grain growth.
paperclipinspection
Analyzing Paper Clips Using Deep Learning and Computer Vision Techniques 📎
https://github.com/chaoscodes/untl
EMNLP'2022: Unsupervised Non-transferable Text Classification
abd
[ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
https://github.com/bin-cao/tradaboost
[OPEN teaching project] The transfer learning code for understanding and teaching : Boosting for transfer learning with single / multiple source(s)
bias.myti.report
A visualization tool to facilitate the comparison of user-implemented bias mitigation methods for AI models
efficient-yolo-rs-airplane-detection
Repository supports the article "Exploring YOLOv8 and YOLOv9 for Efficient Airplane Detection in VHR Remote Sensing Imagery" providing weights and evaluation metrics for YOLO architectures applied to high-resolution satellite imagery using the HRPlanes and CORS-ADD datasets.
network-traffic-transformer
Network Traffic Transformer to learn network dynamics from packet traces. Learn fundamental dynamics with pre-training and fine-tune to multiple applications.
maltese-christian-statue-classifier
An AI initiative project, the Maltese Christian Statue (MCS) Classifier preserves and celebrates Maltese religious culture by accurately classifying 17 distinct categories of Christian statues, fostering deeper understanding and appreciation for the Maltese Culture.
https://github.com/machinelearningnuremberg/deeprankingensembles
[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
dp-opt
[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
https://github.com/adamouization/breast-cancer-detection-mammogram-deep-learning
Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.
chemcpa
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
https://github.com/disi-unibo-nlp/uwb-nlos-human-detection
Dataset for "Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models"
https://github.com/cv-inside/ks-transferlearning
This repository hosts the script that was utilized for report the results of the conference article: “Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning”
nilm_transfer_learning
This repository is the code basis for the paper titled "Using Deep Learning and Knowledge Transfer to Disaggregate Energy Consumption"
https://github.com/hcmlab/tf-transferlearning-benchmarks
Image classification transfer learning experiments on mobile / embedded hardware
https://github.com/antonmu/eqanalytics
Using AI to detecting vulnerable buildings
machine-translation-for-african-languages
This repository focuses on developing machine translation and NLP tools specifically for African languages. Join us in addressing the challenges and opportunities in this vital area of language technology! 🛠️🌍