Showing 33 open source projects for "double-entry"

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  • 1
    BytePS

    BytePS

    A high performance and generic framework for distributed DNN training

    ...For example, on BERT-large training, BytePS can achieve ~90% scaling efficiency with 256 GPUs (see below), which is much higher than Horovod+NCCL. In certain scenarios, BytePS can double the training speed compared with Horovod+NCCL. We show our experiment on BERT-large training, which is based on GluonNLP toolkit. The model uses mixed precision. We use Tesla V100 32GB GPUs and set batch size equal to 64 per GPU. Each machine has 8 V100 GPUs (32GB memory) with NVLink-enabled. Machines are inter-connected with 100 Gbps RDMA network. ...
    Downloads: 0 This Week
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  • 2
    TensorFlow Course

    TensorFlow Course

    Simple and ready-to-use tutorials for TensorFlow

    This repository houses a highly popular (~16k stars) set of TensorFlow tutorials and example code aimed at beginners and intermediate users. It includes Jupyter notebooks and scripts that cover neural network fundamentals, model training, deployment, and more, with support for Google Colab.
    Downloads: 0 This Week
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  • 3
    Defox text to speech and downloader

    Defox text to speech and downloader

    Written or imported text offline read or online download.

    ...Description : • Installation setup with two languages (English, French) • Two areas called text reading and speech downloading • Many languages supported to download center Note 1: I'm a student yet and I'm not in the software designing industry. Therefore maybe I haven't software making skills. I'm worried about that. ! Note 2 : When you double click on the software maybe it will get some seconds to open. That's not my fault. I used Python language to make this software and Python was not supported speedy to modern computers.
    Downloads: 1 This Week
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  • 4

    CRP - Chemical Reaction Prediction

    Predicting Organic Reactions using Neural Networks.

    The intend is to solve the forward-reaction prediction problem, where the reactants are known and the interest is in generating the reaction products using Deep learning. This Graphical User Interface takes simplified molecular-input line-entry system (SMILES) as an input and generates the product SMILE & molecule. Beam search is used in Version 2, to generate top 5 predictions. Maximum input length for the model is 15 (excluding spaces).
    Downloads: 2 This Week
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  • 5

    Presage

    the intelligent predictive text entry platform

    Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. ...
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    Downloads: 115 This Week
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  • 6
    Open Exchange (OpEx)

    Open Exchange (OpEx)

    The open source Algorithmic Trading System

    OpEx is an application suite that includes the main building blocks of commercial electronic trading systems. All OpEx applications run on distributed system architectures.
    Downloads: 0 This Week
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  • 7
    LocalLLM Studio

    LocalLLM Studio

    Chat with local GGUF LLMs on your own machine

    ...At a glance Downloads 0 Views 5 Rating No ratings yet License Apache-2.0 Built by Python (tkinter + CLI), llama-cpp-python Branch main Updated Sep 4, 2026 Screenshots Releases All artifacts are signed — verify your download . localllm-studio 1.0.5 v1.0.5 Aug 20, 2026 Windows: double-click the -Setup.exe to install. Authenticode-signed with the Dosvak LLC EV code-signing certificate (Sectigo Public Code Signi Built entirely by AI. Source: https://github.com/quickpod/localllm-studio
    Downloads: 0 This Week
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  • 8
    Monk Computer Vision

    Monk Computer Vision

    A low code unified framework for computer vision and deep learning

    Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. ...
    Downloads: 0 This Week
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