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RMIT University
- Australia
Stars
A curated list of awesome Machine Learning frameworks, libraries and software.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Python sample codes and textbook for robotics algorithms.
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A resource for learning about Machine learning & Deep Learning
Implementation of Graph Convolutional Networks in TensorFlow
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
common data analysis and machine learning tasks using python
📊 A simple command-line utility for querying and monitoring GPU status
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
StellarGraph - Machine Learning on Graphs
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians a…
Graph Neural Networks with Keras and Tensorflow 2.
A parser for Google Scholar, written in Python
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
📊 Benchmark multiple object trackers (MOT) in Python
PySAL: Python Spatial Analysis Library Meta-Package
Repository for few-shot learning machine learning projects
Netzob: Protocol Reverse Engineering, Modeling and Fuzzing
[CVPR'19 Oral] Deeper and Wider Siamese Networks for Real-Time Visual Tracking
scikit-mobility: mobility analysis in Python
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)