Caffe2 is a lightweight, modular, and scalable deep learning framework.
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Updated
Feb 7, 2023 - Shell
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
Code like an architect
This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale
Repository for the Learning AI with GitHub Copilot video series.
An all-new OS that orchestrates autonomous agents as workers to execute tasks.
HIP Python Low-level Bindings
Fast howTo for Docker, Dockerfile, and Docker-Compose. Also Practical Hands-On Exercises.
Implementation of the paper: "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning" in pytorch
Scripts for running several OpenAI Baselines algorithms on all MuJoCo or Roboschool gym environments to compare performance.
Implementation of Midas from [Towards Robust Monocular Depth Estimation] in Pytorch and Zeta
A simplistic pytorch implementation of LongVit using my previous implementation of LongNet as a foundation.
Loudml API+ Tensorflow + Jupyter for Developers