esp-rs/std-training
quality grade B, 66 out of 100Embedded Rust on Espressif training material.
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,672 results
Embedded Rust on Espressif training material.
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
This is a project that lets you participate in a fully-immersive, hands-on, and fun learning experience for React Native.
A laboratory for learning secure web and mobile development in a practical manner.
Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
The Hitchhiker's Guide to Data Science for Social Good
CTF Training 经典赛题复现环境
:octocat: Вопросы и ответы для собеседования Back-end/Golang разработчика и не только
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Exercises to learn how to fuzz with American Fuzzy Lop
An Industrial Graph Neural Network Framework
Learning Golang one day
OWASP Mutillidae II is a free, open-source, deliberately vulnerable web application providing a target for web-security training. This is an easy-to-use web hacking environment designed for labs, security enthusiasts, classrooms, CTF, and vulnerability assessment tool targets.
A FREE Windows C development course where we will learn the Win32API and reverse engineer each step utilizing IDA Free in both an x86 and x64 environment.
Malware samples, analysis exercises and other interesting resources.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
NLP transformers written in Go
EMNLP 2021 - Pre-training architectures for dense retrieval
OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0
This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.
[NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs
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