Stars
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
IPED Digital Forensic Tool. It is an open source software that can be used to process and analyze digital evidence, often seized at crime scenes by law enforcement or in a corporate investigation b…
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
A way to use N-Beats in fastai for sequence data
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Google Research
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Anomaly detection in videos using deep learning.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
The Places365-CNNs for Scene Classification
Deep Learning for Time Series Classification
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Medical imaging processing for AI applications.
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework f…
A PyTorch Library for Accelerating 3D Deep Learning Research
BayesGrad: Explaining Predictions of Graph Convolutional Networks