Search Results for "ofn-scripts" - Page 17
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Showing 884 open source projects for "ofn-scripts"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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UnsupervisedMT
Phrase-Based & Neural Unsupervised Machine Translation
...Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. The project also provides scripts to fetch and preprocess monolingual data, learn BPE codes, and train cross-lingual embeddings that bootstrap unsupervised alignment between languages. Beyond the core EMNLP 2018 setup, the codebase exposes additional, optional capabilities such as multi-language training, language model pretraining with shared parameters, and adversarial training. -
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wxCppPy
Applciation c++/wxWidgets pilotable via python grâce à pybind11.
...Elle est décomposée en trois projets: 1) API : Le code d'une API et les accès à la GUI 2) API_Py : L'export de l'API vers python3. Il génère le module wxcpppy 3) GUI : L'interface graphique qui permet d'ouvrir les scripts python. Pour compiler wxCppPy rendez-vous dans la section code. Le lisez-moi est complet. -
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MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
...It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized evaluation scripts and dictionaries. By mapping languages into a common vector space, MUSE makes it straightforward to build cross-lingual applications where resources are scarce for some languages. The training and evaluation pipeline is lightweight and fast, so experimenting with different languages or initialization strategies is easy. Beyond dictionary induction, the learned embeddings are often used as building blocks for downstream tasks like classification, retrieval, or machine translation. -
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PyTorch pretrained BigGAN
PyTorch implementation of BigGAN with pretrained weights
...This repository contains an op-for-op PyTorch reimplementation of DeepMind's BigGAN that was released with the paper Large Scale GAN Training for High Fidelity Natural Image Synthesis. This PyTorch implementation of BigGAN is provided with the pretrained 128x128, 256x256 and 512x512 models by DeepMind. We also provide the scripts used to download and convert these models from the TensorFlow Hub models. This reimplementation was done from the raw computation graph of the Tensorflow version and behave similarly to the TensorFlow version (variance of the output difference of the order of 1e-5). This implementation currently only contains the generator as the weights of the discriminator were not released (although the structure of the discriminator is very similar to the generator so it could be added pretty easily. -
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reditools
RNA editing detection by NGS data
REDItools are python scripts developed with the aim to study RNA editing at genomic scale by next generation sequencing data. RNA editing is a post-transcriptional phenomenon involving the insertion/deletion or substitution of specific bases in precise RNA localizations. In human, RNA editing occurs by deamination of cytosine to uridine (C-to-U) or mostly by the adenosine to inosine (A-to-I) conversion through ADAR enzymes. -
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pangu.py
Paranoid text spacing in Python
pangu.py is a Python port of the Pangu spacing tool that automatically inserts proper whitespace between CJK characters and Latin letters, numbers, or symbols. Mixed-script text often becomes cramped or ambiguous, and this library applies simple but effective typography rules to make it instantly more readable. It works both as a Python library and a command-line utility, so you can process strings in code, tidy files in bulk, or wire it into documentation and build pipelines. The... -
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Tacotron-2
DeepMind's Tacotron-2 Tensorflow implementation
Tacotron-2 is a TensorFlow implementation of DeepMind’s Tacotron-2 end-to-end text-to-speech architecture, which predicts mel spectrograms from raw text and then feeds them to a neural vocoder such as WaveNet. It reproduces the original paper’s hyperparameters exactly via paper_hparams.py, while also offering a tuned hparams.py with extra improvements that often yield better audio quality in practice. The repository is structured as a full training pipeline: dataset preparation,... -
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DetectAndTrack
The implementation of an algorithm presented in the CVPR18 paper
DetectAndTrack is the reference implementation for the CVPR 2018 paper “Detect-and-Track: Efficient Pose Estimation in Videos,” focusing on human keypoint detection and tracking across video frames. The system combines per-frame pose detection with a tracking mechanism to maintain identities over time, enabling efficient multi-person pose estimation in video. Code and instructions are organized to replicate paper results and to serve as a starting point for researchers working on pose in... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo... -
Pest Control Management SoftwareBuilt for the pest control industry, but also works great for Mosquito Control, Bin Cleaning, Window Washing, Solar Panel Cleaning, and other Home Service Businesses in need of an easy-to-use software that helps you simplify routing, scheduling, communications, payment processing, truck tracking, time tracking, and reporting.
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Finetune Transformer LM
Code for "Improving Language Understanding by Generative Pre-Training"
...It documents that runs are non-deterministic due to certain GPU operations and reports a median accuracy over multiple trials that is slightly below the single-run result in the paper, reflecting expected variance in practice. The project ships lightweight training, data, and analysis scripts, keeping the footprint small while making the experimental pipeline transparent. It is provided as archived, research-grade code intended for replication and study rather than continuous development. -
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Improved GAN
Code for the paper "Improved Techniques for Training GANs"
...The project focuses on demonstrating enhanced training methods for Generative Adversarial Networks, addressing stability and performance issues that were common in earlier GAN models. The repository includes training scripts, evaluation methods, and pretrained configurations for reproducing experimental results. By offering structured experiments across multiple datasets, it allows researchers to study and replicate the improvements described in the paper. Although the project is archived and not actively maintained, it remains a reference point in the history of GAN research, influencing subsequent model training approaches. -
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InfoGAN
Code for reproducing key results in the paper
...That extra incentive encourages the generator to structure its latent space in a way where certain latent variables control meaningful, distinct factors (e.g. rotation, width, stroke thickness) in the output images. The repository includes code for experiments (e.g. on MNIST), launcher scripts, and some tests. It depends on a development version of TensorFlow (the code expects features not in older stable releases), and also uses other libraries like prettytensor and progressbar. -
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Evolution Strategies Starter
Code for the paper "Evolution Strategies.."
...This approach allows for efficient parallelization and robustness against worker termination, making it ideal for distributed execution on Amazon EC2 spot instances. The codebase supports building custom AMIs with Packer, integrates with MuJoCo for simulation-based experiments, and includes scripts for launching and managing large-scale runs. While no longer actively maintained, the repository serves as a historical and educational reference. -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
...Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision. -
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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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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition
...Mixed-precision support (float16) is optimized for NVIDIA Volta and Turing GPUs, allowing significant speedups and memory savings without sacrificing model quality. The project comes with configuration-driven training scripts, documentation, and examples that demonstrate how to set up pipelines for tasks. -
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3D ResNets for Action Recognition
3D ResNets for Action Recognition (CVPR 2018)
We uploaded the pretrained models described in this paper including ResNet-50 pretrained on the combined dataset with Kinetics-700 and Moments in Time. We significantly updated our scripts. If you want to use older versions to reproduce our CVPR2018 paper, you should use the scripts in the CVPR2018 branch. -
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Spatial Media
Specifications and tools for 360º video and spatial audio
...They help ensure assets play back with the right projection, field of view, and head-tracked audio in compliant players. For archive and validation use cases, the scripts can also read existing flags to diagnose why a video isn’t being recognized as immersive. -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
...The repository provides training and evaluation code for standard few-shot benchmarks such as miniImageNet and Omniglot, making it possible to reproduce the experimental results reported in the paper. It includes model definitions, data loading logic, episodic training loops, and scripts that implement the N-way K-shot evaluation protocol common in few-shot research. Researchers can use this codebase as a starting point to test new ideas, modify relation modules, or transfer the approach to new datasets. -
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Raspberry PI Graphic
Raspberry PI controlls the ST7735 (SainSmart 1.8 SPI LCD)
Python scripts for the Raspberry PI to control the graphic chip ST7735. The Display is the SainSmart 1.8 SPI LCD. tkDisplay2.zip contains a driver which simulates the SPI interface with alternative GPIO pins! -
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Compare GAN
Compare GAN code
...With configuration-driven experiments, you can sweep hyperparameters, run ablations, and log results at scale. The goal is to turn GAN experimentation into a disciplined, repeatable process rather than a patchwork of scripts. It also provides baselines strong enough to serve as starting points for new ideas without re-implementing the world. -
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HDDtempNC
Tool to acquire hard disk drive temperature from the network interface
###### HDDtempNC has now moved to Github ###### ###### Please visit the Github project at https://github.com/viharm/HDDtempNC ###### HDDtempNC provides a script to acquire hard disk drive temperature for a target host by querying an existing HDDtemp daemon and then parse the results according to the request. See project wiki for more details, usage and code. -
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Paper Icon Theme
Paper Icon Theme
Paper is a modern freedesktop icon theme whose design is based around the use of bold colours and simple geometric shapes to compose icons. Each icon has been meticulously designed for pixel-perfect viewing. While it does take some inspiration from the icons in Google's Material Design, some aspects have been adjusted to better suit a desktop environment. This project has mixed licencing. You are free to copy, redistribute and/or modify aspects of this work under the terms of each licence... -
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Learn Python the Hard Way
Concise study notes derived from “Learn Python the Hard Way”
This repository contains concise study notes derived from “Learn Python the Hard Way,” organized to reinforce core Python concepts through small, targeted examples. It emphasizes hands-on practice—short scripts, exercises, and explanations that help cement syntax, data structures, functions, and modules. The notes call out common gotchas, idioms, and style preferences so learners form good habits early. Because the content is intentionally compact, it’s easy to revisit a topic quickly when preparing for interviews or refreshing fundamentals. ... -
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PiHass
Pre-defined and easy to use Home-Assistant Image for raspberry pi
This is a Raspbain Strech base image with Home-Assistant on it. i used Virtual Env based installation and added some Custom Ui and Custom Components. i have also configured MySQL server and database and also some scripts, sensors and groups to help users start working with the system.
