deep-learning

ModelScope: bring the notion of Model-as-a-Service to life.

Deep universal probabilistic programming with Python and PyTorch

Learning Convolutional Neural Networks with Interactive Visualization.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

A collection of machine learning examples and tutorials.

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Lab Materials for MIT 6.S191: Introduction to Deep Learning

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

AI Toolkit for Healthcare Imaging

TensorFlow tutorials and best practices.

EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Trax — Deep Learning with Clear Code and Speed

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .