Search Results for "encoder" - Page 5
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Showing 293 open source projects for "encoder"
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Denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)
Denoiser is a real-time speech enhancement model operating directly on raw waveforms, designed to clean noisy audio while running efficiently on CPU. It uses a causal encoder-decoder architecture with skip connections, optimized with losses defined both in the time domain and frequency domain to better suppress noise while preserving speech. Unlike models that operate on spectrograms alone, this design enables lower latency and coherent waveform output. The implementation includes data augmentation techniques applied to the raw waveforms (e.g. noise mixing, reverberation) to improve model robustness and generalization to diverse noise types. ... -
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TTS
Deep learning for text to speech
...Notebooks for extensive model benchmarking. Modular (but not too much) code base enabling easy testing for new ideas. Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech). Speaker Encoder to compute speaker embeddings efficiently. Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN). If you are only interested in synthesizing speech with the released TTS models, installing from PyPI is the easiest option. -
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Abdal Base64 Encoder Decoder
Base64 Encoder Decoder Tools
Abdal Base64 Encoder Decoder tool can perform encryption and decryption process without any restrictions and completely free of charge, but be careful that this tool should not be used for encrypting very sensitive information. -
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ALAE
Adversarial Latent Autoencoders
...The project implements the architecture introduced in the CVPR research paper on Adversarial Latent Autoencoders, which focuses on improving generative modeling by learning latent representations aligned with adversarial training objectives. Unlike traditional GANs that directly generate images from random noise, ALAE uses an encoder-decoder architecture that maps images into a structured latent space and then reconstructs them through adversarial training. This design allows the model to learn interpretable latent representations that can be manipulated to control generated image attributes. -
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clzw
Implementation of LZW compression algorithm in C
Simple, fast implementation of LZW (Lempel–Ziv–Welch) data compression algorithm in C. - Console encoder/decoder tools - OS independent - Could be used in embedded projects - Works with raw code-stream LZW features: - Hardcoded dictionary size - Variable code size - Code search is performed by hash table and embedded in dictionary linked lists (encoder) - No dynamic memory allocation -
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SentEval
A python tool for evaluating the quality of sentence embeddings
SentEval is a standardized toolkit for evaluating sentence embeddings across a wide spectrum of downstream tasks and probing tests. It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic structure. Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. ... -
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Multilingual Speech Synthesis
An implementation of Tacotron 2 that supports multilingual experiments
...The first shares the whole encoder and uses an adversarial classifier to remove speaker-dependent information from the encoder. The second has separate encoders for each language. -
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tkmpeg
TK MPEG 1 encoder. Tcl/Tk 8.5/8.6 TEA Compatable.
TK MPEG 1 encoder. Tcl/Tk 8.5/8.6 TEA Compatable. Based on ezMPEG. http://sourceforge.net/projects/ezmpeg -
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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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collect_elemental
Collects necessary TechSupport data for AWS Elemental Users
This script provides AWS Elemental TechSupport with all the necessary logs and data specific to troubleshooting issues. Run this on any conductor, statmux, or encoder. It collects the following: * System Logs (/var/log) * Web (/opt/elemental_se/web/log) * Database logs (/data/pgsql/logs) * Database Backups (/home/elemental/database_backups) * Elemental Core Dumps (/data/server/cores) * System Core Dumps (/var/crash) * IPMI data (ipmi sel list sensor) * Elemental Node Info (/etc/motd /opt/elemental_se/eme.lic conductor.lic ui.lic versions.txt) * Event IDs -
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DETR
End-to-end object detection with transformers
...Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based global loss, which forces unique predictions via bipartite matching, and a Transformer encoder-decoder architecture. Given a fixed small set of learned object queries, DETR reasons about the relations of the objects and the global image context to directly output the final set of predictions in parallel. Due to this parallel nature, DETR is very fast and efficient. -
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BitShade
AES Cipher, Base64 encoder, SHA calculator
BitShade is a graphic utility to encrypt/decrypt with AES, base64 encode/decode, calculate the SHA checksum. It is cross platform, written in Java. -
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Zopfli
Zopfli Compression Algorithm is a compression library
Zopfli is a compression library and command-line tool that produces exceptionally small DEFLATE, zlib, and gzip streams by spending more CPU time to search for better encodings. It keeps strict compatibility with the ubiquitous DEFLATE format, so outputs can be decompressed by any standard tool or browser. The encoder performs exhaustive block splitting and greedy but thorough match searching to shave extra bytes off assets, which is ideal for web content and firmware where size matters more than compression time. A companion utility, zopflipng, targets PNGs by trying alternate filter strategies and recompressing IDAT chunks, often achieving additional savings without changing image quality. ... -
14
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... -
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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 to use, just one click and it will start. There is no difficulties of installing process and system agreement. ... -
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Resemblyzer
A python package to analyze and compare voices with deep learning
...These embeddings can then be used for speaker similarity, clustering, diarization experiments, voice comparison, and audio dataset exploration. The project is useful for researchers and developers who need a practical way to reason about speaker identity without building a voice encoder from scratch. It can help identify whether two recordings sound like the same speaker or visualize voice relationships across many samples. Its main value is making speaker representation accessible through a simple Python workflow. -
17
GoJay
high performance JSON encoder/decoder with stream API for Golang
...Also, I wanted to build a decoder that could consume an io.Reader of line or comma delimited JSON, in a JIT way. To consume a flow of JSON objects from a TCP connection for example or from a standard output. The same way I wanted to build an encoder that could encode a flow of data to a io.Writer. -
18
CakeChat
CakeChat: Emotional Generative Dialog System
...The code is flexible and allows to condition model's responses by an arbitrary categorical variable. For example, you can train your own persona-based neural conversational model or create an emotional chatting machine. Hierarchical Recurrent Encoder-Decoder (HRED) architecture for handling deep dialog context. Multilayer RNN with GRU cells. The first layer of the utterance-level encoder is always bidirectional. By default, CuDNNGRU implementation is used for ~25% acceleration during inference. Thought vector is fed into decoder on each decoding step. Decoder can be conditioned on any categorical label, for example, emotion label or persona id. ... -
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UnsupervisedMT
Phrase-Based & Neural Unsupervised Machine Translation
Unsupervised Machine Translation is a research repository that implements both phrase-based SMT and neural MT approaches for translation without parallel corpora. The neural component supports multiple architectures—seq2seq, biLSTM with attention, and Transformer—and allows extensive parameter sharing across languages to improve data efficiency. Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually... -
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hybrid-tools
Free and open-source A/V tools
Free and open-source A/V tools used by Selur's Hybrid video encoder. -
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SYPPS
small yet powerful php shell
SYPPS - small yet powerful php shell is another PHP shell for pentesting -
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Butteraugli
Estimates the psychovisual difference between two images
...These maps make it practical to tune compressor settings and confirm whether bitrate reductions are visually acceptable. The metric has become a common yardstick for objective image quality when comparing codecs or encoder tweaks that target web or mobile delivery. Because it is deterministic and fast, it can be used in automated pipelines to gate releases on visual quality, not just file size. -
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SG2Im
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201
...This separation lets the model reason about geometry and composition before committing to texture and color, improving spatial fidelity. The repository includes training code, datasets, and evaluation scripts so researchers can reproduce baselines and extend components such as the graph encoder or image generator. In practice, sg2im demonstrates how structured semantics can guide generative models to produce controllable, compositional imagery. -
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Whammy
A real time javascript webm encoder based on a canvas hack
Whammy is a lightweight JavaScript encoder for generating WebM video directly in the browser. It exploits the relationship between WebP image frames and the VP8 codec used by WebM. Developers can add canvas elements, canvas contexts, or encoded image data as individual video frames. Frame rate can be defined globally, while individual frame durations can also be specified. -
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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition
OpenSeq2Seq is a TensorFlow-based toolkit for efficient experimentation with sequence-to-sequence models across speech and NLP tasks. Its core goal is to give researchers a flexible, modular framework for building and training encoder–decoder architectures while fully leveraging distributed and mixed-precision training. The toolkit includes ready-made models for neural machine translation, automatic speech recognition, speech synthesis, language modeling, and additional NLP tasks such as sentiment analysis. It supports multi-GPU and multi-node data-parallel training, and integrates with Horovod to scale out across large GPU clusters. ...
