waleedreafee

Data-Structures-and-Algorithms

Data Structures and Algorithms in Python

object-tracking-yolov8-native

Yolov8 object tracking 100% native | Object detection | Computer vision tutorial

DGFraud

A Deep Graph-based Toolbox for Fraud Detection

pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

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.

ComGA

The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.

Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

LLM-Agent-Demo

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

grad-cam-feedstock

A conda-smithy repository for grad-cam.

predict-an-event-with-fairness-explainability-robustness-using-ai-360-toolkit

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

kserve

Standardized Serverless ML Inference Platform on Kubernetes

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" (Neural Networks 2022 - in submission)

baal

Bayesian active learning library for research and industrial usecases.

PT4AL

Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"

Learning-Loss-for-Active-Learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

TypiClust

Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets

PyBaMM

Fast and flexible physics-based battery models in Python

RL4RS

A Real-World Benchmark for Reinforcement Learning based Recommender System

BM3

Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23

MMRec

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

MultimodalRecSys

A curated list of awesome resources about multimodal recommender systems.

complex-synapses

Deep learning implementation of the Benna-Fusi complex synapse model.

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).

Continual-Analogical-Reasoning

PyTorch code for our CVPRW-2021 paper "Selective Replay Enhances Learning in Online Continual Analogical Reasoning"

whatsapp-gpt

continuallearning