deep-learning

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Learning to Learn in TensorFlow

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

Model summary in PyTorch similar to `model.summary()` in Keras

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

oneAPI Deep Neural Network Library (oneDNN)

3D ResNets for Action Recognition (CVPR 2018)

人像卡通化探索项目 (photo-to-cartoon translation project)

Interactive Image Generation via Generative Adversarial Networks

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Differentiable architecture search for convolutional and recurrent networks

Vector (and Scalar) Quantization, in Pytorch

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

Quant/Algorithm trading resources with an emphasis on Machine Learning

Visual Tracking Paper List

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning