Popular GitHub Repositories for Incremental Pattern Matching

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A collection of resources and papers on Diffusion Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Probabilistic language based on pattern matching and constraint propagation, 153 examples

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

? Online machine learning in Python

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Facilitating the design, comparison and sharing of deep text matching models.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

? TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

Simple and comprehensive tutorials in TensorFlow

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

?? NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)