Stars
Implementation of IncrementalDBSCAN clustering.
Making large AI models cheaper, faster and more accessible
Train transformer language models with reinforcement learning.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Code for the paper "Language Models are Unsupervised Multitask Learners"
State-of-the-Art Text Embeddings
Table structure recognition dataset of the paper: Complicated Table Structure Recognition
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition
Faster R-CNN for Open Images Dataset by Keras
Siamese and triplet networks with online pair/triplet mining in PyTorch
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
GSP (Generalized Sequence Pattern) algorithm in Python
A journey into Convolutional Neural Network visualization
Developing AI tools for developers by leveraging the data made openly available by OpenShift and Kubernetes CI platforms.
The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"
An accurate GUI element detection approach based on old-fashioned CV algorithms [Upgraded on 5/July/2021]
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Learn OpenCV : C++ and Python Examples
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…