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Online compiler for HIP and NVIDIA® CUDA® code to WebGPU
Package manager and build system for VHDL, Verilog, and SystemVerilog
Modern embedded framework, using Rust and async.
The fundamental package for scientific computing with Python.
F´ - A flight software and embedded systems framework
Empowering everyone to build reliable and efficient software.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Dockerized iCloud Client - make a local copy of your iCloud documents and photos, and keep it automatically up-to-date.
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
Collaborative cheatsheets for console commands 📚.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Robot Application for void, our 2022 Robot for FIRST Rapid React
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
Universal MCT wrapper script for all Windows 10/11 versions from 1507 to 21H2!
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
🙃 A delightful community-driven (with 2,500+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
Tensorflow 2 Object Detection API Tutorial. This tutorial will take you from installation, to running pre-trained detection model, and training your model with a custom dataset, then exporting it f…
Models and examples built with TensorFlow
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
📚 Freely available programming books
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.