Search Results for "python 2" - Page 26
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Showing 3398 open source projects for "python 2"
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TensorFlowTTS
Real-Time State-of-the-art Speech Synthesis for Tensorflow 2
TensorFlowTTS is a state-of-the-art, open-source speech synthesis library built on TensorFlow 2. It offers a variety of architectures for text-to-speech, including classic and modern models such as Tacotron‑2, FastSpeech / FastSpeech2, and neural vocoders like MelGAN and Multiband‑MelGAN. Because it’s based on TensorFlow 2, it can leverage optimizations such as fake-quantization aware training and pruning — which allow models to run faster than real time and to be deployable on mobile or... -
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Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception. Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training... -
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gpt-j-api
API for the GPT-J language mode. Including a FastAPI backend
An API to interact with the GPT-J language model and variants! You can use and test the model in two different ways. These are the endpoints of the public API and require no authentication. Just SSH into a TPU VM. This code was tested on both the v2-8 and v3-8 variants. -
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Python-Bible-Reader
Script to read the Bible written in Python 2
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Paperless-ng
A supercharged version of paperless, scan, index and archive docs
Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to... -
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MANOOL
Programming language with expressive power and a simple implementation
...It has high expressive power but is implemented in less than 10K LOC of optimized, idiomatic C++11 for native run-time environments. MANOOL is meant to compare and compete directly with Python, PHP, Ruby, Perl, and Tcl, although incidentally it has some combination of unusual features. Example: {{extern "manool.org.18/std/0.2/all"} in WriteLine[Out; "Hello, world!"]} Explicitly stated design priorities of MANOOL: 1. implementation simplicity; 2. expressive power, usability, and general utility, attention to syntax and semantics details; 3. correctness, security, and overall quality of implementation, run-time reliability; 4. run-time performance and scalability; 5. consistency, completeness, orthogonality of features, and language elegance, conceptual economy and purity. ... -
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Pytago
A source-to-source transpiler for Python to Go translation
pytago is a source-to-source transpiler that converts some Python into human-readable Go. It enables developers to translate Python codebases into Go, facilitating migration or interoperability between the two languages. -
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fetchMirrorsGui
get repo mirrors for Arch Linux
Project is a python script compiled into an elf executable binary. Its a standalone project and does not rely on reflector -
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Old Photo Restoration
Bringing Old Photo Back to Life (CVPR 2020 oral)
We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two... -
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CleverHans
An adversarial example library for constructing attacks
This repository contains the source code for CleverHans, a Python library to benchmark machine learning systems' vulnerability to adversarial examples. You can learn more about such vulnerabilities on the accompanying blog. The CleverHans library is under continual development, always welcoming contributions of the latest attacks and defenses. In particular, we always welcome help with resolving the issues currently open. Since v4.0.0, CleverHans supports 3 frameworks: JAX, PyTorch, and TF2.... -
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U-Net Fusion RFI
U-Net for RFI Detection based on @jakeret's implementation
See original code here: https://github.com/jakeret/tf_unet Currently this project is based on Tensorflow 1.13 code base and there are no plans to transfer to TF version 2. The primary improvements to this code base include a training and evaluation framework, along with a fusion based approach to detection, combining a number of models (currently hard coded to two trained models) along with Sum Threshold as an additional "expert." Additional work is being done to add custom layers to... -
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Microsoft Bot Framework SDK
Tool for building conversation applications
Bot Framework provides the most comprehensive experience for building conversation applications. With the Bot Framework SDK, developers can build bots that converse free-form or with guided interactions including using simple text or rich cards that contain text, images, and action buttons. Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring... -
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VITS
Conditional Variational Autoencoder with Adversarial Learning
VITS is a foundational research implementation of “VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech,” a well-known neural TTS architecture. Unlike traditional two-stage systems that separately train an acoustic model and a vocoder, VITS trains an end-to-end model that maps text directly to waveform using a conditional variational autoencoder combined with normalizing flows and adversarial training. This architecture enables parallel generation... -
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SimSiam
PyTorch implementation of SimSiam
SimSiam is a PyTorch implementation of “Exploring Simple Siamese Representation Learning” by Xinlei Chen and Kaiming He. The project introduces a minimalist approach to self-supervised learning that avoids negative pairs, momentum encoders, or large memory banks—key complexities of prior contrastive methods. SimSiam learns image representations by maximizing similarity between two augmented views of the same image through a Siamese neural network with a stop-gradient operation, preventing... -
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Transformer TTS
Implementation of a Transformer based neural network
TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive... -
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...Oriented towards information databases, its main task is searching information quickly through lists and inverted data. Originally written in php and designed for MySQL, the version 2 is a full rewrite in Python, now oriented to SQLite. MySQL support may be included, but not fully implemented yet. Maggy2 is in beta state and the documentation is missing. But the program is quite fully functional.
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Linux-reminders
A simple reminder Gui for Linux using wxpython
A simple reminder tool for those of us who have lots to do and a mind like a sieve. The following types of reminder can be created: One off, at a specified date and time; every 15 minutes; every 30 minutes; every 45 minutes; every hour; daily; monthly; weekly; annually; last day of the month; penultimate day of the month; the 1st,2nd,3rd,4th or last Monday of the month; the 1st,2nd,3rd,4th or last Tuesday of the month; the 1st,2nd,3rd,4th or last Wednesday of the month; the... -
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AliceMind
ALIbaba's Collection of Encoder-decoders from MinD
This repository provides pre-trained encoder-decoder models and its related optimization techniques developed by Alibaba's MinD (Machine IntelligeNce of Damo) Lab. Pre-trained models for natural language understanding (NLU). We extend BERT to a new model, StructBERT, by incorporating language structures into pre-training. Specifically, we pre-train StructBERT with two auxiliary tasks to make the most of the sequential order of words and sentences, which leverage language structures at the... -
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Upscale
This program is upscaling any image by a factor 2 using an algorithm
This program is upscaling any image by a factor 2 using an algorithm of cubic interpolation. You may need to install the following libraries to run the program, tqdm, itertools, and OpenCV. -
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Hands-on Unsupervised Learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
...Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data. -
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DrQA
Reading Wikipedia to Answer Open-Domain Questions
DrQA is an open-domain question answering system that reads large text corpora—famously Wikipedia—to answer natural language questions with extractive spans. It follows a two-stage pipeline: a fast document retriever first narrows down candidate articles, and a neural machine reader then predicts the exact answer span from those passages. The retriever relies on classic IR features (like TF-IDF and n-gram statistics) to remain lightweight and scalable to millions of documents. The reader is... -
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LoL Absent
Program to block League of Legends contacts.
ABANDONED PROJECT. THE PROGRAM DOES NOT WORK BECAUSE THE CHAT SERVERS HAVE CHANGED SINCE THE LAST UPDATE. Program to block League of Legends contacts. When you use it, you will appear offline and you will not be able to write in the picks and bans phase, but yes during the game. REQUIREMENTS: 1 - Windows 10 x64 or higher operative system. 2 - NET Framework 4.7.2 or higher. -
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Precision_trimmer
Precision resistance value trim circuit using standard parts.
By using standard precision resistors in parallel and series with standard 1, 2, 5 multiple potentiometers, a precision, narrow range resistance trimmer can be created. Fixed resistors are more stable than potentiometers and the circuit reduces the effects of the potentiometer while also determining a precise range. For convenience, a Python script is used to assist in part selection. -
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kamiFaka
kamiFaka
Applicable to all kinds of e-commerce, coupons, forum invitation codes, recharge cards, activation codes, registration codes, Tencent iQiyi points CDK, etc., support manual and automatic delivery, and a tiered wholesale model similar to 1688. Stisla UI: The web interface is beautiful Front-end uses VUE3.0, millisecond-level response. Has integrated Alipay face-to-face payment, WeChat official, Payjs, Hupijiao, YunGouOS, Yipay, Mugglepay, V visa-free and other more than a dozen payment...
