Stars
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
This is a Capstone 1 project. It is basically a Conference Page website. The state of the art, attractive and interactive web-design has been incorporated.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
LaTeX samples for NSF Research.gov Proposal Submission. For more information about Research.gov Proposal Submission visit https://www.research.gov/research-web/content/aboutpsm Feedback [email protected]
All of the Civitai models inside Automatic 1111 Stable Diffusion Web UI
Stable Diffusion web UI
ResGCN: an efficient baseline for skeleton-based human action recognition.
NVIDIA's Deep Imagination Team's PyTorch Library
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
Long-Term Feature Banks for Detailed Video Understanding
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Code for CVPR 2020 paper Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition
A PyTorch Library for Meta-learning Research
Repository for few-shot learning machine learning projects
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
A collection of various deep learning architectures, models, and tips