Search Results for "text decoder"
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Showing 37 open source projects for "text decoder"
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1
LZ4
Extremely fast compression algorithm
LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license. This benchmark simulates simple "static content transfer" scenario such as OS Kernel compression or video game's... -
2
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
... as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets. -
3
DALL-E 2 - Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository will only build out the diffusion prior network, as it is the best performing variant (but which incidentally involves a causal transformer... -
4
DevToys
A Swiss Army knife for developers
DevToys helps in daily tasks like formatting JSON, comparing text, testing RegExp. No need to use many untruthful websites to do simple tasks with your data. With Smart Detection, DevToys is able to detect the best tool that can treat the data you copied in the clipboard of your Windows. Compact overlay lets you keep the app in small and on top of other windows. Multiple instances of the app can be used at once. DevToys works entirely offline, meaning that none of the data used by the app goes... -
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5
Basaran
Basaran, an open-source alternative to the OpenAI text completion API
Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models. The open source community will eventually witness the Stable Diffusion moment for large language models (LLMs), and Basaran allows you to replace OpenAI's service with the latest open-source model to power your application without modifying a single line of code. Stream generation using various decoding strategies... -
6
Karlo
Text-conditional image generation model based on OpenAI's unCLIP
Karlo is a text-conditional image generation model based on OpenAI's unCLIP architecture with the improvement over the standard super-resolution model from 64px to 256px, recovering high-frequency details only in the small number of denoising steps. We train all components from scratch on 115M image-text pairs including COYO-100M, CC3M, and CC12M. In the case of Prior and Decoder, we use ViT-L/14 provided by OpenAI’s CLIP repository. Unlike the original implementation of unCLIP, we replace... -
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LLM Foundry
LLM training code for MosaicML foundation models
Introducing MPT-7B, the first entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k. Large language models (LLMs) are changing the world, but for those outside well-resourced industry labs, it can be extremely difficult to train and deploy... -
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OpenAI DALL·E AsyncImage SwiftUI
OpenAI swift async text to image for SwiftUI app using OpenAI
... for both the model's prior (which produces an image embedding given a text caption) and the decoder that generates the final image. In machine learning, diffusion models, also known as diffusion probabilistic models, are a class of latent variable models. They are Markov chains trained using variational inference. The goal of diffusion models is to learn the latent structure of a dataset by modeling the way in which data points diffuse through the latent space. -
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NÜWA - Pytorch
Implementation of NÜWA, attention network for text to video synthesis
Implementation of NÜWA, state of the art attention network for text-to-video synthesis, in Pytorch. It also contains an extension into video and audio generation, using a dual decoder approach. It seems as though a diffusion-based method has taken the new throne for SOTA. However, I will continue on with NUWA, extending it to use multi-headed codes + hierarchical causal transformer. I think that direction is untapped for improving on this line of work. In the paper, they also present a way... -
Don’t let unpaid invoices limit your business’s growth. EBizCharge plugs directly into the tools your business already uses to speed up payment collection.
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10
CPT
CPT: A Pre-Trained Unbalanced Transformer
A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We... -
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RDD! USB HID Report Descriptor Decoder
Create C structures from USB HID Report Descriptors
This will read a USB Human Interface Device (HID) report descriptor from the specified input file then attempt to decode it and, optionally, create a C language header file from it. It also does some minimal sanity checks to verify that the report descriptor is valid. The input file can be a binary file or a text file (for example, an existing C header file). If it is a text file, it will concatenate all the printable-hex-like text that it finds on each line (until the first non-hex sequence... -
12
DALL·E Mini
Generate images from a text prompt
DALL·E Mini, generate images from a text prompt. OpenAI had the first impressive model for generating images with DALL·E. Craiyon/DALL·E mini is an attempt at reproducing those results with an open-source model. The model is trained by looking at millions of images from the internet with their associated captions. Over time, it learns how to draw an image from a text prompt. Some concepts are learned from memory as they may have seen similar images. However, it can also learn how to create... -
13
SafeUtils
110+ developer tools as native MacOS, Linux & Windows desktop apps.
Tools: https://safeutils.com/barcode-generator https://safeutils.com/color-picker https://safeutils.com/qr-code-generator https://safeutils.com/qr-code-scanner https://safeutils.com/word-counter https://safeutils.com/base-64-decoder https://safeutils.com/diff-checker https://safeutils.com/hex-to-ascii https://safeutils.com/json-formatter https://safeutils.com/lorem-ipsum-generator https://safeutils.com/random-generator https://safeutils.com/time-converter https://safeutils.com... -
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Logisim Italian Fork
in progress...
Github: https://github.com/LogisimIt/Logisim -
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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 word... -
16
file-splitter-rejoiner
file splitter and rejoiner
/* * * Freeware * Open Source * 2 tools in one application * using .Net 4.8 * (1) Simple files splitter and rejoiner tool using memory buffer * (2) Simple files base64 encoder and decoder using random sized Stream GB/TB+ data sizes * A good tool for an essentials inventory * Just when required. * Simple precise short and straightforward coding * Tested bugs free and perfect when I developed and released it. * * Developer: Tushar Jain * Release Time: 09:33 PM... -
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Universal Encoder Decoder - AyaN Softwar
84 Type Encoding/Decoding Options And Full Offline - AyaN Software
In the era of digital communication and data security and computer management the character arranging encoding and decoding system is doing its best. You can encode and decode data easily with the online tools but this the software Universal Encoder Decoder can do all types of encoding and decoding as fast as light. Some most advance feature of this encoding and decoding is given below , which make this software different from others : This software - first of all easy to install and easy... -
18
Texar
Toolkit for Machine Learning, Natural Language Processing
Texar 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 was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror of this repository... -
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Fox Encoder
Multipurpose Encoder/decoder
Encode / Decode (from and to) text, hex, base64. Also supports hash function including MD4, MD5, SHA1, SHA2, SHA3, Keccak including most lengths (224, 256, 384 and 512), -
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bin64ed
Base64 encode (or decode) files of any type with this lightweight tool
bin64ed is a binary base64 encoder/decoder that allows you to encode/decode binary files (such as images, pdfs, etc) to and from base64. -
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AES256 Password manager Russian version
Simple password manager in Russian
Simple password manager that uses encryption AES 256. Translated into Russian. AES256 Password Manager (originally Encrypter) decoder is a text file that stores the passwords or other sensitive data is completely secure manner using encryption algorithm AES 256-bit. Official page http://xn--90abhbolvbbfgb9aje4m.xn--p1ai/%D0%B1%D0%B5%D0%B7%D0%BE%D0%BF%D0%B0%D1%81%D0%BD%D0%BE%D1%81%D1%82%D1%8C/%D0%BF%D0%B0%D1%80%D0%BE%D0%BB%D0%B8/aes256-password-manager-%D0%BF%D1%80%D0%BE%D1%81%D1%82%D0%BE%D0... -
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RandomPicker
Random card picker for any card game.
Just load a directory with cards, what have classifier for type and number of card with defined length. Program will randomly select any card with type filter and show it on screen. You can add descripton for types to Type.txt file like "A Awesome card". You can also add text to card in Text.txt like "A-001 My first card", what can be showed with card on screen. -
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Text Hex Convert v2.1.1 -src
THD-src
This is the source code for Text Hex Decoder that I released earlier. Enjoy! -
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Simple Cipher Decoder
Decrypts and encrypts substitution, transposition and vigenere ciphers
Change log 1.01: 1)Error fixed on clicking solve and arrow buttons in the vigenere decoder 2)Error fixed when number of columns exceeds text length in substiution cipher 3)Can now handle variable block length when changing columns 4)Multiple identicle conversion values onn the frequency analysis page now not allowed This project is near its final stages but there may still be improvements to be made. If you could write some form of review or send me an email with advice I would greatly... -
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Morse View
Real-time audible Morse code to text message converter
Morse View an open source software project to convert audible Morse codes to text messages. This application is capable to convert Morse codes from wave files or from the audio line/microphone inputs. Conversion from Morse code to text can perform based amplitude and frequency decomposition of the input audio stream.