An Open Source Machine Learning Framework for Everyone

Open standard for machine learning interoperability

functions to estimate the Conditional Average Treatment Effects (CATE) and Population Average Treatment Effects on the Treated (PATT)

Godpeny Github Page :)

Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.

oneAPI Deep Neural Network Library (oneDNN)

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

AI video upscaler

Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models

This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.

PaddlePaddle End-to-End Development Toolkit（飞桨低代码开发工具）

YOLOV1 to V4 implemented in tensorflow 2 (tf.keras).

Training and deployment of deep learning models for satellite & aerial imagery

Techniques for deep learning with satellite & aerial imagery

Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal Society A.

A Great Collection of Deep Learning Tutorials and Repositories

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

Open Source installer, updater for Trainer Studio under Apache 2.0 License

Scalable and user friendly neural 🧠 forecasting algorithms.

deep-learning machine-learning