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Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
ONNX-TensorRT: TensorRT backend for ONNX
Learn how to write webapps without a framework in Go.
QualityScaler - image/video AI upscaler app
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
📚 Jupyter notebook tutorials for OpenVINO™
A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Carefully curated resource links for data science in one place
Digital Forensics Guide. Learn all about Digital Forensics, Computer Forensics, Mobile device Forensics, Network Forensics, and Database Forensics.
🔥 A Complete List of GitHub Profile Badges and Achievements 🔥
The Ultimate FREE Machine Learning Study Plan
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Five lessons, learn how to really apply AI to your .NET Applications
Interface-Driven OS Kernel for AI-Assisted Learning | 面向 AI 的操作系统学习项目
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
:email: An Example of using an HTML form (e.g: "Contact Us" on a website) to send Email without a Backend Server (using a Google Script) perfect for static websites that need to collect data.
Node.js Basics ( v24.x )
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Learn basics of React.js making the tests pass
:books: To Be Professional Developer From Zero To Mastery, Interactive MindMap, RoadMap(Learning Path/Interview Questions), xCompass, Weekly for Developer, to Learn Everything in ITCS :dizzy: 程序员的技术视野、知识管理与职业规划，提高个人与团队的研发效能
Contrastive Language Models (CLMs) are a new class of System One model trained with a contrastive learning objective that connects states and actions.