waleedreafee
Independent Scientist, interest in #Recommender Systems, #MachineLearning, #DeepLearning, #Natural Language Processing.
Mälardalen UniversityStockholm, Sweden
waleedreafee's Stars
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
pyenv-win/pyenv-win
pyenv for Windows. pyenv is a simple python version management tool. It lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition of single-purpose tools that do one thing well.
kserve/kserve
Standardized Serverless ML Inference Platform on Kubernetes
danielgross/whatsapp-gpt
theja-m/Data-Structures-and-Algorithms
Data Structures and Algorithms in Python
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
pybamm-team/PyBaMM
Fast and flexible physics-based battery models in Python
baal-org/baal
Bayesian active learning library for research and industrial usecases.
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
enoche/MMRec
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
enoche/MultimodalRecSys
A curated list of awesome resources about multimodal recommender systems.
GMvandeVen/brain-inspired-replay
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
fuxiAIlab/RL4RS
A Real-World Benchmark for Reinforcement Learning based Recommender System
Mephisto405/Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
peymanbateni/simple-cnaps
Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)
avihu111/TypiClust
Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
johnsk95/PT4AL
Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"
enoche/BM3
Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23
XuexiongLuoMQ/ComGA
The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
IntelLabs/continuallearning
computervisioneng/object-tracking-yolov8-native
Yolov8 object tracking 100% native | Object detection | Computer vision tutorial
tyler-hayes/Continual-Analogical-Reasoning
PyTorch code for our CVPRW-2021 paper "Selective Replay Enhances Learning in Online Continual Analogical Reasoning"
GMvandeVen/complex-synapses
Deep learning implementation of the Benna-Fusi complex synapse model.
ViktorQvarfordt/LLM-Agent-Demo
conda-forge/grad-cam-feedstock
A conda-smithy repository for grad-cam.
IBM/predict-an-event-with-fairness-explainability-robustness-using-ai-360-toolkit
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