Stars
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A library for federated learning (a distributed machine learning process) in an enterprise environment.
An open-source framework for machine learning and other computations on decentralized data.
Perform data science on data that remains in someone else's server
📚 Freely available programming books
The Prometheus monitoring system and time series database.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.
Awesome Person Re-identification
Federated Learning Demo in Python using Socket Programming
[Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)
TinyDB is a lightweight document oriented database optimized for your happiness :)
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
A collection of design patterns/idioms in Python
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Simple Online Realtime Tracking with a Deep Association Metric
Google Drive Public File Downloader when Curl/Wget Fails
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Scrapy, a fast high-level web crawling & scraping framework for Python.
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The world's simplest facial recognition api for Python and the command line
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Most popular metrics used to evaluate object detection algorithms.
Python Data Science Handbook: full text in Jupyter Notebooks
An Emacs configuration bundle with batteries included
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
COCO API - Dataset @ http://cocodataset.org/