Deep Learning, NLP, NMT, AI, ML
TheWordzBot A Telegram Bot Plays With Words in python. ➠ I Can Turn Text Into Audio ➠ I Can Get Results From Dictionary ➠ I Can Make Google Search For You ➠ I Can Suggest Strong Passwords For You ➠ I Can Encode And Decode text in base64 format ➠ I Can Make Cowsay From Given Text GitHub https://github.com/raveen-2003/TheWordzBot
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aimmo Using intermediate Python, join your class on a time travelling adventure. Work together to complete challenges and unlock new time periods. It is the year 3000 and the museum is in big trouble! The priceless artifacts are lost and scattered across timelines. Your team’s mission is to travel through time and bring them back into the museum. Quick Start Fork the repo. Take a look at our usage guidelines to see how to get started. GitHub https://github.com/ocadotechnology/aimmo
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Python is a very versatile programming language, with a plethora of uses in a variety of different fields. If you’ve grasped the basics of Python and are itching to build something with the language, then it’s time to figure out what your next step should be. In this article, we offer several different projects, resources, and tutorials that you can use to start building things with Python. What Others Do With Python You’re probably wondering what people are building with […]
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Vvim – Keyboardless Vim interactions This is done via a hardware glove that the user wears. The glove detects the finger’s positions and translates them into key presses. It’s currently a work in progress. This is done via a hardware glove that the user wears. The glove detects thefinger’s positions and translates them into key presses. It’s currently a workin progress. The glove prototype, with 4 sensors on two fingers Subset of data The stream of data from the 4 […]
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GPRGNN This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network. Hidden state feature extraction is performed by a neural networks using individual node features propagated via GPR. Note that both the GPR weights and parameter set of the neural network are learned simultaneously in an end-to-end fashion (as indicated in red). The learnt GPR weights of the GPR-GNN on real world datasets. Cora is homophilic while Texas is heterophilic (Here, H stands for […]
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SDL: Synthetic Document Layout dataset SDL is the project that synthesizes document images. It facilitates multiple-level labeling on document images and can generate in multiple languages. Sample image Structure of data Quick start python flexible_layout.py –config_file configs/page.yaml Instruction to run data generation Go to instruction Visualization of the result python data_manipulation/visualize.py Vietnamese 300000 images link: Release soon Paper https://arxiv.org/abs/2106.15117 GitHub https://github.com/tson1997/SDL-Document-Image-Generation
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VD-BERT PyTorch Code for the following paper at EMNLP2020:Title: VD-BERT: A Unified Vision and Dialog Transformer with BERT [pdf]Authors: Yue Wang, Shafiq Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C.H. HoiInstitute: Salesforce Research and CUHKAbstractVisual dialog is a challenging vision-language task, where a dialog agent needs to answer a series of questions through reasoning on the image content and dialog history. Prior work has mostly focused on various attention mechanisms to model such intricate interactions. By contrast, in […]
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DSANet This project is the PyTorch implementation of the paper “DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting“, in which we propose a dual self-attention network (DSANet) for multivariate time series forecasting. The network architecture is illustrated in the following figure, and more details about the effect of each component can be found in the paper. Requirements Python 3.5 or above PyTorch 1.1 or above pytorch-lightning How to run You need to prepare the dataset first. Check here. # […]
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HTBRichPresence Unofficial Discord Rich Presence for HackTheBox platform The project is under lazy development. How to run Install requirements: // I’m gonna add this pip3 install -r requirements.txt Enter your api_key in main.py script (1 on screenshot) and your id (2 on screenshot) And run the main script: python3 path/to/main.py [active_machine], [–help] Info about Attention: active_machine is name of box you re doing and its for showing one and it’s case sensitive! U’re using this arg makes RP look like […]
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2021-CVPR-MvCLN This repo contains the code and data of the following paper accepted by CVPR 2021 Requirements pytorch==1.5.0 numpy>=1.18.2 scikit-learn>=0.22.2 munkres>=1.1.2 logging>=0.5.1.2 Configuration The hyper-parameters, the training options (including the ratiao of positive to negative, aligned proportions and switch time) are defined in the args. part in run.py. Datasets The Scene-15 and Reuters-dim10 datasets are placed in “datasets” folder. The NoisyMNIST and Caltech101 datasets could be downloaded from Google cloud or Baidu cloud with password “rqv4”. Usage After setting the […]
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