A latent text-to-image diffusion model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

High-Resolution Image Synthesis with Latent Diffusion Models

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

The Udacity open source self-driving car project

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Jupyter notebooks for the Natural Language Processing with Transformers book

📚 Jupyter notebook tutorials for OpenVINO™

pytorch implementation of openpose including Hand and Body Pose Estimation.

Tracking Any Point (TAP)

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

Differentiable signal processing on the sphere for PyTorch

핸즈온 머신러닝 2/E의 주피터 노트북

This repository accompanies the book "Deep Learning for Vision Systems".

Machine Learning for Cybersecurity Cookbook, published by Packt

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Graph Machine Learning, published by Packt

YOLOv8 Segmentation with DeepSORT Object Tracking (ID + Trails)

Python Deep Learning Projects, published by Packt

Computer Vision Projects

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Getting Started with PyTorch Lightning, Published by Packt