deep-learning

maximal update parametrization (µP)

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

Python AutoML for Trading Systems and Sports Betting

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

PyTorch for Semantic Segmentation

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Open source tools for computational pathology - Nature BME

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

A lightweight library for PyTorch training tools and utilities

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

Synthetic data curation for post-training and structured data extraction

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

PyTorch tutorials and best practices.

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.