Starred repositories
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
[CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Official implementation of paper "MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens"
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
🦜🔗 Build context-aware reasoning applications
[PR] How to Reduce Change Detection to Semantic Segmentation
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Most popular metrics used to evaluate object detection algorithms.
A playbook for systematically maximizing the performance of deep learning models.
Segment Anything in Medical Images
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been genera…
Stable Diffusion web UI
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
Implementation of Scheduled Policy Optimization for task-oriented language grouding
Tooll 3 is an open source software to create realtime motion graphics.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.