Repository Index

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

• pytorch
• deep-learning
• machine-learning
• computer-vision

YoloV3 Implemented in Tensorflow 2.0

• tensorflow
• tf2
• yolo
• yolov3

Qwen-UI-Agent: Towards Next-Generation Real-World Centric Foundation GUI Agent

• gui-agent
• gui-grounding
• gui-navigation
• browser-use

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

• machine-learning
• deep-learning
• python
• classification

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

• deep-learning
• computer-vision
• machine-learning
• python

Tracking Any Point (TAP)

• benchmark
• point-tracking
• robotics
• computer-vision

🪼 a python library for doing approximate and phonetic matching of strings.

• python
• levenshtein
• soundex
• hamming

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

• pytorch
• stochastic-differential-equations
• inverse-problems
• generative-models

Natural Gradient Boosting for Probabilistic Prediction

• machine-learning
• gradient-boosting
• natural-gradients
• uncertainty-estimation

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

• rag
• ai-agents
• alignment
• debugging

WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.

LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

• computer-vision
• visible-infrared
• low-light-image
• image-fusion

The repository host gives no description.

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Optimising chemical reactions using machine learning

• chemistry
• machine-learning
• optimization
• bayesian-optimization

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

• probabilistic-programming
• neural-network
• tensorflow
• keras-tensorflow

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

• protein
• protein-sequences
• protein-design
• representation-learning

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)

• moloch
• suricata
• monitoring
• nsm

Compilado de recursos sobre Computação Quântica em português

Detecting cancers on mobile phones

Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.

• big-data
• bigdata
• spark
• spark-sql

Jupyterlab extension to show notebook cell completion notifications

• jupyter
• jupyterlab
• browser-notifications
• jupyterlab-extension