Showing 21184 open source projects for "python-ldap"

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  • 1
    MXNet

    MXNet

    Lightweight, Portable, Flexible Distributed/Mobile Deep Learning

    Apache MXNet is a scalable, efficient open-source deep learning framework—offering a flexible hybrid programming model (symbolic + imperative) and supporting a wide array of languages—designed for training and deploying neural networks across heterogeneous systems.
    Downloads: 0 This Week
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  • 2

    BMIkalkulator

    Very simple BMI calculator in Polish.

    This is my first, very simple Python project - simple BMI (Body Mass Index) calculator vith some addidtional informations. It comes in Polish language.
    Downloads: 0 This Week
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  • 3

    pydeal

    A GUI Python shell

    Downloads: 0 This Week
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  • 4
    Downloads: 2 This Week
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    YOLOv3

    YOLOv3

    Object detection architectures and models pretrained on the COCO data

    Fast, precise and easy to train, YOLOv5 has a long and successful history of real time object detection. Treat YOLOv5 as a university where you'll feed your model information for it to learn from and grow into one integrated tool. You can get started with less than 6 lines of code. with YOLOv5 and its Pytorch implementation. Have a go using our API by uploading your own image and watch as YOLOv5 identifies objects using our pretrained models. Start training your model without being an...
    Downloads: 334 This Week
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  • 6
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  • 7
    OpenPrompt

    OpenPrompt

    An Open-Source Framework for Prompt-Learning

    Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other...
    Downloads: 0 This Week
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  • 8
    PromptSource

    PromptSource

    Toolkit for creating, sharing and using natural language prompts

    PromptSource is a toolkit for creating, sharing and using natural language prompts. Recent work has shown that large language models exhibit the ability to perform reasonable zero-shot generalization to new tasks. For instance, GPT-3 demonstrated that large language models have strong zero- and few-shot abilities. FLAN and T0 then demonstrated that pre-trained language models fine-tuned in a massively multitask fashion yield even stronger zero-shot performance. A common denominator in these...
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  • 9
    Sneedacity

    Sneedacity

    Audio Editor

    ... in Python, Perl, or any language that supports named pipes. Nyquist Very powerful built-in scripting language that may also be used to create plug-ins. Editing multi-track editing with sample accuracy and arbitrary sample rates. Accessibility for VI users. Analysis and visualization tools to analyze audio or other signal data.
    Downloads: 7 This Week
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  • 10
    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...
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  • 11
    pdd

    pdd

    Tiny date, time diff calculator

    There are times you want to check how old you are (in years, months, days) or how long you need to wait for the next flash sale... pdd (python3 date diff) is a small cmdline utility to calculate date and time difference. If no program arguments are specified it shows the current date, time and timezone.
    Downloads: 0 This Week
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  • 12
    RQ-Transformer

    RQ-Transformer

    Implementation of RQ Transformer, autoregressive image generation

    Implementation of RQ Transformer, which proposes a more efficient way of training multi-dimensional sequences autoregressively. This repository will only contain the transformer for now. You can use this vector quantization library for the residual VQ. This type of axial autoregressive transformer should be compatible with memcodes, proposed in NWT. It would likely also work well with multi-headed VQ. I also think there is something deeper going on, and have generalized this to any number of...
    Downloads: 0 This Week
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  • 13
    Texar-PyTorch

    Texar-PyTorch

    Integrating the Best of TF into PyTorch, for Machine Learning

    Texar-PyTorch is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar-PyTorch was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror...
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  • 14
    Gib

    Gib

    Gib Is the Best agnostic package manager extender for Unix-like OS's.

    Downloads: 0 This Week
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  • 15
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  • 16
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  • 17
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  • 18

    q

    Developer's programmable text & binary editor

    Mostly WYSIWYG command-line driven editor with editable commands, a powerful macro facility including a stack architecture run machine, macro debugger, online help, a foundation macro set and extension macro sets for C, python, Ada and Tcl development and email composition. Q tries to resolve the old tabs vs spaces conundrum: e.g. in Linux source, the user can automatically enforce leading tabs, no space-before-tab leading sequences and no trailing spaces.
    Downloads: 0 This Week
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  • 19

    pyRelativity

    To derive, explain, calculate Theory of Relativity in Python 2.x

    To derive and explain and calculate Albert Einstein’s Theory of Relativity in Python 2.x.
    Downloads: 0 This Week
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  • 20
    Tensorflow Transformers

    Tensorflow Transformers

    State of the art faster Transformer with Tensorflow 2.0

    Imagine auto-regressive generation to be 90x faster. tf-transformers (Tensorflow Transformers) is designed to harness the full power of Tensorflow 2, designed specifically for Transformer based architecture. These models can be applied on text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. Images, for tasks like image classification, object detection, and segmentation. Audio, for tasks like...
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  • 21
    EasyNLP

    EasyNLP

    EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

    EasyNLP is an easy-to-use NLP development and application toolkit in PyTorch, first released inside Alibaba in 2021. It is built with scalable distributed training strategies and supports a comprehensive suite of NLP algorithms for various NLP applications. EasyNLP integrates knowledge distillation and few-shot learning for landing large pre-trained models, together with various popular multi-modality pre-trained models. It provides a unified framework of model training, inference, and...
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  • 22
    The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
    Downloads: 1 This Week
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  • 23
    Transaction Grabber V1

    Transaction Grabber V1

    Grabbing and scraping all transaction hash and other details bitcoin

    Scrap and Grabbing All Details Transaction (TXID) Bitcoin From Blockchain and any free block download and save to text file with filter details (HASH ID , ADDRESS, VALUE , ...)
    Downloads: 0 This Week
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  • 24
    Moved to https://codeberg.org/andybalaam/myaddressbook
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  • 25

    LaserBlast

    A Laser Cannon Strategy Game

    Why did I write this program, and why in Python? Well there were really two reasons. First I wanted to quickly test various game rules and strategies. Python and pygames made prototyping quick and easy. This is actually about the twentieth version of the game. Second I wanted to try the new match/case statements that were added in Python 3.10. I found lots of uses for match/case and I really like it.
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