Focus on prompting and generating

🏅 Collection of Kaggle Solutions and Ideas 🏅

D-Adaptation for SGD, Adam and AdaGrad

Learn how to develop, deploy and iterate on production-grade ML applications.

Visualizer for neural network, deep learning and machine learning models

[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

NeuralProphet: A simple forecasting package

A General Toolbox for Identifying Object Detection Errors

♾️ CML - Continuous Machine Learning | CI/CD for ML

NVIDIA's Deep Imagination Team's PyTorch Library

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Domain Adaptive Faster R-CNN in PyTorch

A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go

DEPRECATED — Official Ruby library for the GDAX API

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

A collection of AWESOME things about domain adaptation

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Population Based Training, Figure 2

Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Image augmentation for machine learning experiments.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

OpenMMLab Detection Toolbox and Benchmark

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase