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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
A complete course for learning Bitcoin programming and usage from the command
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Free hands-on digital forensics labs for students and faculty
An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.
Efficient neural feature detector and descriptor
This repositories contains a list of python scripts projects from beginner level advancing slowly. More code snippets to be added soon. feel free to clone this repo
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
WebGL accelerated JavaScript molecular graphics library
Foundation Models for Genomics & Transcriptomics
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
Fusing Histology and Genomics via Deep Learning - IEEE TMI
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network