Showing 148 open source projects for "python to executable file"

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  • 1
    StudioGAN

    StudioGAN

    StudioGAN is a Pytorch library providing implementations of networks

    ...-Transformer), and Diffusion models (LSGM++, CLD-SGM, ADM-G-U). StudioGAN is a self-contained library that provides 7 GAN architectures, 9 conditioning methods, 4 adversarial losses, 13 regularization modules, 6 augmentation modules, 8 evaluation metrics, and 5 evaluation backbones. Among these configurations, we formulate 30 GANs as representatives. Each modularized option is managed through a configuration system that works through a YAML file.
    Downloads: 0 This Week
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  • 2
    ModelFox

    ModelFox

    ModelFox makes it easy to train, deploy, and monitor ML models

    ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. Train a machine...
    Downloads: 1 This Week
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  • 3
    The fastai book

    The fastai book

    The fastai book, published as Jupyter Notebooks

    These notebooks cover an introduction to deep learning, fastai, and PyTorch. fastai is a layered API for deep learning; for more information, see the fastai paper. These notebooks are used for a MOOC and form the basis of this book, which is currently available for purchase. It does not have the same GPL restrictions that are on this repository. The code in the notebooks and python .py files is covered by the GPL v3 license; see the LICENSE file for details. The remainder (including all...
    Downloads: 0 This Week
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  • 4
    TensorFlow Backend for ONNX

    TensorFlow Backend for ONNX

    Tensorflow Backend for ONNX

    Open Neural Network Exchange (ONNX) is an open standard format for representing machine learning models. ONNX is supported by a community of partners who have implemented it in many frameworks and tools. TensorFlow Backend for ONNX makes it possible to use ONNX models as input for TensorFlow. The ONNX model is first converted to a TensorFlow model and then delegated for execution on TensorFlow to produce the output. This is one of the two TensorFlow converter projects which serve different...
    Downloads: 0 This Week
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  • 5
    Face Mask Detection

    Face Mask Detection

    Face Mask Detection system based on computer vision and deep learning

    Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras. Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. Amid the ongoing COVID-19 pandemic, there are no efficient face mask detection applications which are now in high demand for transportation means, densely populated areas, residential...
    Downloads: 0 This Week
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  • 6
    gpt-2-simple

    gpt-2-simple

    Python package to easily retrain OpenAI's GPT-2 text-generating model

    A simple Python package that wraps existing model fine-tuning and generation scripts for OpenAI's GPT-2 text generation model (specifically the "small" 124M and "medium" 355M hyperparameter versions). Additionally, this package allows easier generation of text, generating to a file for easy curation, allowing for prefixes to force the text to start with a given phrase. For finetuning, it is strongly recommended to use a GPU, although you can generate using a CPU (albeit much more slowly...
    Downloads: 3 This Week
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  • 7
    Photonix Photo Manager

    Photonix Photo Manager

    A modern, web-based photo management server

    ... contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. Once you have finished trying out the system you can edit the volume in the docker-compose.yml file where it says ./data/photos to mount wherever you usually keep photos. System database, thumbnails and other cache data is stored separately from the photos so shouldn't pollute the area. You are responsible for keeping your own backups in case of error.
    Downloads: 0 This Week
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  • 8
    e-Dokyumento

    e-Dokyumento

    e-Dokyumento is web-based Document Management System (DMS)

    e-Dokyumento is opensource web-based Document Management System (DMS) A Document Management which automates the basic office document workflow such as receiving, filing, routing, and approving through capturing (scanning), digitizing (OCR Reading), storing, tagging, and electronically routing and approving (e-signature) of electronic documents. # Demo : https://e-dokyumento.herokuapp.com/ https://edokyu.seillig.com/ (refer to Readme.md for the...
    Downloads: 4 This Week
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  • 9
    Opyrator

    Opyrator

    Turns your machine learning code into microservices with web API

    Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and executable files or Docker images. Opyrator builds on open standards - OpenAPI, JSON Schema, and Python type hints - and is powered by FastAPI, Streamlit, and Pydantic. It cuts out all the pain for productizing and sharing your Python code - or anything you can wrap into a single Python function...
    Downloads: 0 This Week
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  • 10
    Semantic Segmentation in PyTorch

    Semantic Segmentation in PyTorch

    Semantic segmentation models, datasets & losses implemented in PyTorch

    Semantic segmentation models, datasets and losses implemented in PyTorch. PyTorch and Torchvision needs to be installed before running the scripts, together with PIL and opencv for data-preprocessing and tqdm for showing the training progress. PyTorch v1.1 is supported (using the new supported tensoboard); can work with earlier versions, but instead of using tensoboard, use tensoboardX. Poly learning rate, where the learning rate is scaled down linearly from the starting value down to zero...
    Downloads: 0 This Week
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  • 11
    Pipeline for training Language Models

    Pipeline for training Language Models

    Pipeline for training Language Models using PyTorch.

    Pipeline for training Language Models using PyTorch. Inspired by Yandex Data School NLP Course (week 03: Language Modeling) Prepared text file with space-separated words on each line.
    Downloads: 0 This Week
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  • 12
    Synonyms

    Synonyms

    Chinese synonyms, chat robot, intelligent question and answer toolkit

    Chinese Synonyms for natural language processing and understanding. Better Chinese synonyms, chatbot, intelligent question and answer toolkit. synonymsCan be used for many tasks in natural language understanding, text alignment, recommendation algorithms, similarity calculation, semantic shifting, keyword extraction, concept extraction, automatic summarization, search engines, etc. Print synonyms in a friendly way for easy debugging. "Synonyms Cilin" was compiled by Mei Jiaju and others in...
    Downloads: 0 This Week
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  • 13

    discord_feedbot

    Moved to https://gitlab.com/ffreiheit/discord_feedbot

    Downloads: 0 This Week
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  • 14
    wav2letter++

    wav2letter++

    Facebook AI research's automatic speech recognition toolkit

    First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run...
    Downloads: 0 This Week
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  • 15
    HyperGAN

    HyperGAN

    Composable GAN framework with api and user interface

    A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with...
    Downloads: 1 This Week
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  • 16
    Magnitude

    Magnitude

    A fast, efficient universal vector embedding utility package

    A feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner developed by Plasticity. It is primarily intended to be a simpler / faster alternative to Gensim but can be used as a generic key-vector store for domains outside NLP. It offers unique features like out-of-vocabulary lookups and streaming of large models over HTTP. Published in our paper at EMNLP 2018 and available on arXiv.
    Downloads: 0 This Week
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  • 17
    Linux-Intelligent-Ocr-Solution

    Linux-Intelligent-Ocr-Solution

    Easy-OCR solution and Tesseract trainer for GNU/Linux

    Linux-intelligent-ocr-solution Lios is a free and open source software for converting print in to text using either scanner or a camera, It can also produce text out of scanned images from other sources such as Pdf, Image, Folder containing Images or screenshot. Program is given total accessibility for visually impaired. A Tesseract Trainer GUI is also shipped with this package. Forum : https://groups.google.com/forum/#!forum/lios Video Tutorial :...
    Downloads: 5 This Week
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  • 18
    textgenrnn

    textgenrnn

    Easily train your own text-generating neural network

    ... file, including large files. Train models on a GPU and then use them to generate text with a CPU. Utilize a powerful CuDNN implementation of RNNs when trained on the GPU, which massively speeds up training time as opposed to typical LSTM implementations. Train the model using contextual labels, allowing it to learn faster and produce better results in some cases.
    Downloads: 0 This Week
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  • 19
    RecNN

    RecNN

    Reinforced Recommendation toolkit built around pytorch 1.7

    This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like.
    Downloads: 0 This Week
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  • 20

    SwaNN

    PSO for neural networks

    SwaNN is a basic framework for neural networks based on particle swarm optimization (using the Python package PySwarms (https://pyswarms.readthedocs.io/en/latest/). The zip file contains the main programs in SwaNN.py and around 30 examples : - classification - regression - time series forecasting I need some help for class building (I am not an expert in Python nor in OOP), if somebody is interested in it... In Google Colab : https://colab.research.google.com/drive...
    Downloads: 0 This Week
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  • 21

    FastoCloud PRO

    IPTV/NVR/CCTV/Video cloud https://fastocloud.com

    ... Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware:
    Downloads: 0 This Week
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  • 22

    Ai-chan

    A simple chat bot written in Python.

    Ai-chan is a chat bot you can run offline. You can teach her new conversations, share her memory data, change her appearance, her name, the way she calls you, etc.
    Downloads: 0 This Week
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  • 23
    automl-gs

    automl-gs

    Provide an input CSV and a target field to predict, generate a model

    Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model...
    Downloads: 0 This Week
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  • 24
    Zabbix-in-Telegram

    Zabbix-in-Telegram

    Zabbix Notifications with graphs in Telegram

    Zabbix Notifications with graphs in Telegram.
    Downloads: 0 This Week
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  • 25

    Safe Harbor Deidentification

    Safe Harbor Deidentification for medical documents

    Phalanx - Deidentify Safe Harbor Deidentification Mode of Phalanx is an abridged pipeline of NLP annotators culminating in NER annotators which write output of text offsets. It uses the Safe Harbor deidentification method.
    Downloads: 0 This Week
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