An example showing how to use jax to train resnet50 on multi-node multi-GPU

This repo shows how to use jax for multi-node multi-GPU training. The example is adapted from the resnet50 example in dm-haiku (https://github.com/deepmind/dm-haiku/tree/main/examples/imagenet). It only requires each node knows the IP of the rank 0 node, very similar to PyTorch’s DDP. When two containers on the same cluster are running, one can run the following script in each container to launch a multi-node multi-GPU training job: python train.py –server_ip=$ROOT_IP –server_port=$PORT –num_hosts=$NUM_HOSTS –host_idx=$HOST_IDX GitHub View Github    

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One day, One Image With Python

Explication : Version : 1.0 One day, One image -> 1 jour, Une image !Tout les jours vous allez lancer le logiciel ! ( Du moins si vous le souhaitez ) Le logiciel vous proposera une image inédite, il y a le créateur de l’image !La date de quand elle a était faites ! ( Le jour ou vous lancer le logiciel ducoup.. )Le logiciel vous propose une explication de l’image bien précise ! La couleur d’arriere plan du logiciel […]

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LPCV Winner Solution of Spring Team

Background Challenge link: https://lpcv.ai/2021LPCVC/fpga-track Leaderboard: https://lpcv.ai/scoreboard/FPGA21 Environment Xilinx Board: Ultra-96 V2 System: https://github.com/Avnet/Ultra96-PYNQ/releases v2.6 git clone –recursive –shallow-submodules https://github.com/Xilinx/DPU-PYNQ cd DPU-PYNQ/upgrade make pip3 install pynq-dpu Note: replace the image.ub with the LPCV provided one. Build cd nms python3 build.py install Evaluation Evaluate in the jupyternote book: evaluation.ipynb. Contributors Jiahao Hu, Pu Li, Yongqiang Yao, Ruihao Gong Reference Links The detection model    

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Avalanche RL: an End-to-End Library for Continual Reinforcement Learning

Avalanche RL is a fork of ContinualAI’s Pytorch-based framework Avalanche with the goal of extending its capabilities to Continual Reinforcement Learning (CRL), bootstrapping from the work done on Super/Unsupervised Continual Learning. It should support all environments sharing the gym.Env interface, handle stream of experiences, provide strategies for RL algorithms and enable fast prototyping through an extremely flexible and customizable API. The core structure and design principles of Avalanche are to remain untouched to easen the learning curve for all continual […]

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Includes all files needed to satisfy hw02 requirements

Mean Scale Score for Asian and Hispanic Students, Grades 3 – 8 This dataset provides insights into the New York City education system across Asian and Hispanic catagories. The students have different eudcation scale scores across multiple grades. I hope that this visual graph can help provide insight on race, grades, and mean scale scores to depict the a small part of the New York education system. Data Set Average Sea Level Pressure compared to Air Temperature for Ocean Waters […]

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Django Templates: Implementing Custom Tags and Filters

You set up your project and wrote a view to use for testing. Then, you used built-in tags and filters as well as loaded tags from a library. In the previous section, you learned how to register tags and filters. In this section, you’re all set to write your first Django custom filter! Filters as Functions As mentioned previously, filters are Python functions. The most basic filters take a single argument: the value to filter. The result of a filter […]

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Python IDE or notebook to generate a basic Kepler.gl data visualization

geospatial-data-analysis [readme] Use this code in your Python IDE or notebook to generate a basic Kepler.gl data visualization, without pre-configurations Config for map must be added to notebook for easier viewing, and sharing of final map See Kepler.gl docs for how to add your configurations. Docs: https://docs.kepler.gl/docs/keplergl-jupyter Demo app: https://docs.kepler.gl/examples/demo-app GitHub View Github    

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Fmog: Fortinet Mass Object Generator

This script will take a list of IP addresses and create address objects with the same name. It will also add them to a group using the append function. Future updates include: error control importing address list from a file handling CIDR/subnetmask conversion formatting object/group names Running in Linux: -Make it executable -Run from command line Usage: GitHub View Github    

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Generate thousands of NFTs in Python

NFT-Generator is the best way to generate thousands of NFTs quick and easily with Python. Just add your files, set your configuration and run the script. You’ll get all the images and metadata required for your NFT project! How to use? Clone the repo by running git clone https://github.com/itshydrone/NFT-Generator.git Enter the downloaded directory by typing cd NFT-Generator Install the dependencies by running pip install -r requirements.txt Add all your layer files in the ‘traits’ folder. They should be separated in […]

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A project calculates current internet upload and download speeds

Project Description: In this project, are creating an internet speed calculator. Requirements: Following modules need to be installed for it to work properly: Tkinter: Tkinter is the standard GUI library for Python. Python when combined with Tkinter provides a fast and easy way to create GUI applications. Tkinter provides a powerful object-oriented interface to the Tk GUI toolkit. We will be using this for not-so-good GUI that i designed 🙂 Usually tkinter comes with the standard python installation. Incase you […]

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