Stars
The official implementation of "Divergence of Features and Mean: A BatchNorm-based Abnormality Criterion for Weakly Supervised Video Anomaly Detection"
Aligning First, Then Fusing: A Novel Weakly-Supervised Multimodal Violence Detection Method
This repository summarizes papers and codes for 6D Object Pose Estimation.
6-DoF Pose estimation based on the YOLOv5 framework. Specific focus on instruments in X-ray applications
DeepSeek Coder: Let the Code Write Itself
A community-maintained Python framework for creating mathematical animations.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
EECS 498-007 / 598-005 Deep Learning for Computer Vision
Simple examples to introduce PyTorch
Home of StarCoder: fine-tuning & inference!
Anki's shared backend and web components, and the Qt frontend
Google Drive Public File Downloader when Curl/Wget Fails
LeetScrape: Python package for quickly downloading and saving LeetCode problems offline, including topics, difficulty, and code stubs in various languages. Ideal for coding skill enhancement and in…
A feature-rich command-line audio/video downloader
series-intro-to-github-flow-VivekNarula7 created by GitHub Classroom
Introduction to ML packages for the 6.86x course
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Interactive Widgets for the Jupyter Notebook
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
📝 Lecture Notes on Data Structures and Computer Algorithms | Inha University | Instructor: Dr. Ashish Seth
AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.