Popular GitHub Repositories for Graphical Representation

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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

pix2code: Generating Code from a Graphical User Interface Screenshot

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Reading list for research topics in multimodal machine learning

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

links to conference publications in graph-based deep learning

A collection of important graph embedding, classification and representation learning papers with implementations.

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

Fast, flexible and easy to use probabilistic modelling in Python.

【EMNLP 2024?】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Text preprocessing, representation and visualization from zero to hero.

Repository for benchmarking graph neural networks (JMLR 2023)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

Datasets, tools, and benchmarks for representation learning of code.