Search Results for "transfer function model" - Page 7
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Showing 339 open source projects for "transfer function model"
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TextGen
textgen, Text Generation models
Implementation of Text Generation models. textgen implements a variety of text generation models, including UDA, GPT2, Seq2Seq, BART, T5, SongNet and other models, out of the box. UDA, non-core word replacement. EDA, simple data augmentation technique: similar words, synonym replacement, random word insertion, deletion, replacement. This project refers to Google's UDA (non-core word replacement) algorithm and EDA algorithm, based on TF-IDF to replace some unimportant words in sentences with... -
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CSAw - NLP for low-resource languages
CSAw is an NLP framework for low-resource languages
CSAw is an NLP framework for low-resource languages with a focus on machine translation. The primary goal is to build language models automatically from bilingual text (e.g., front and back translations) using a deep transfer rule-based approach. The core of this strategy is the Concept Specification and Abstraction semantic representation which is specially designed with machine translation in mind. See the preprint article here: https://arxiv.org/abs/1807.02226 The current framework includes transduction algorithms (i.e., from text to semantic representation and back again) and some components needed for automatic language model building (lexical alignment and grammar rule generation). ... -
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CycleGAN
Software that can generate photos from paintings
CycleGAN — in its original form — is a landmark in deep learning for image-to-image translation without paired data. Rather than requiring matching image pairs between source and target domains (which are often hard or impossible to obtain), CycleGAN learns two mappings — one from domain A to B, and another back from B to A — along with a cycle-consistency loss that encourages the round-trip to reconstruct the original image. This innovation lets the model learn domain-to-domain translations... -
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ChatHN
Chat with Hacker News using natural language
ChatHN is an open-source chatbot that lets users explore Hacker News through natural-language questions. It connects an OpenAI model to the official Hacker News API through function calling, allowing the model to retrieve live structured data when needed. Built-in functions can fetch top stories, open a specific story, include leading comments, and prepare the current top discussion for summarization. Responses are streamed through the Vercel AI SDK so the interface can display generated text progressively. ... -
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GraphQL Voyager
Represent any GraphQL API as an interactive graph
Represent any GraphQL API as an interactive graph. It's time to finally see the graph behind GraphQL. You can also explore number of public GraphQL APIs from our list. With graphql-voyager you can visually explore your GraphQL API as an interactive graph. This is a great tool when designing or discussing your data model. It includes multiple example GraphQL schemas and also allows you to connect it to your own GraphQL endpoint. What are you waiting for, explore your API! Quick navigation on... -
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Project: Olympus
An Arduino-based Altitude and IMU Payload for Model Rocketry
Project: Olympus is an engineering project that utilizes an Arduino Nano microcontroller to create an electronic payload that records altitude, g-forces experienced by the rocket, as well as roll rate. Included with the code is a 132 page Project Manual that takes you through the design and construction of the electronic payload. It also includes sections on the construction of the Estes Olympus rocket. A detailed code review of each section of code is included. We take a detailed look... -
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ParlAI
A framework for training and evaluating AI models
ParlAI is a comprehensive research platform for building, training, and evaluating dialogue agents across a wide variety of tasks and datasets. It provides a unified interface—agents, teachers, and worlds—so the same model can be trained on multi-turn chit-chat, question answering, task-oriented dialogue, retrieval, or safety-focused datasets without changing core code. The library integrates tightly with PyTorch and supports both generative and retrieval-augmented models, along with... -
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abcCairo
Extend abcm2ps to support direct generation of PNG, SVG and PDF files
...It is an extension of Michael Methfessel's abc2ps. This project takes out the PostScript commands to generate various musical symbols and instead replaces them with Cairo function calls that generate the same musical symbols. The Cairo graphics library is an open-source graphics library offering a similar 2D graphics model to PostScript. The Cairo library can write to a GTK canvas, allowing integration with programs using the GTK+ toolkit, or it can write to an image file in a choice of formats: PNG, SVG or PDF. ... -
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smclarify
Fairness aware machine learning. Bias detection and mitigation
...A facet can have value(s) that designates that sample as "sensitive". Bias detection and mitigation for datasets and models. The label is a column or feature which is the target for training a machine learning model. The label can have value(s) that designates that sample as having a "positive" outcome. A bias measure is a function that returns a bias metric. A bias metric is a numerical value indicating the level of bias detected as determined by a particular bias measure. A collection of bias metrics for a given dataset or a combination of a dataset and model. -
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Nunjucks
A rich and powerful templating language for JavaScript
A powerful templating engine with inheritance, asynchronous control, and more (jinja2 inspired). You've been looking for a more sophisticated templating engine for JavaScript. Here it is. Rich Powerful language with block inheritance, autoescaping, macros, asynchronous control, and more. Heavily inspired by jinja2. Fast & Lean High-performant. Small 8K gzipped runtime with precompiled templates in the browser. Crazy extensible with custom filters and extensions. Everywhere available in node... -
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PIFuHD
High-Resolution 3D Human Digitization from A Single Image
PIFuHD (Pixel-Aligned Implicit Function for 3D human reconstruction at high resolution) is a method and codebase to reconstruct high-fidelity 3D human meshes from a single image. It extends prior PIFu work by increasing resolution and detail, enabling fine geometry in cloth folds, hair, and subtle surface features. The method operates by learning an implicit occupancy / surface function conditioned on the image and camera projection; at inference time it queries dense points to reconstruct a mesh via marching cubes. ... -
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Hippo4j
Powerful dynamic thread pool framework with monitoring/alarm functions
Dynamically observable thread pool framework to improve online operation guarantee capabilities for business systems. Dynamically change thread pool parameters when the application is running, including not limited to core, maximum thread, blocking queue size, and rejection strategy, etc., and support different node thread pool configuration differentiation under the application cluster. Buried when the application thread pool is running, it provides four alarm dimensions, such as... -
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o'scopepy
Oscilloscope using PC sound card and Python 3
...Tkinter is used for both GUIs and for creating a second event loop used for synchronizing workcell to workcell communication. Three classes, Hub, Requestify and Transceiver are used to implement the parallel programming model. Hub is used as the central communication facility. Requestify is used for function binding by Tkinter widgets command option and Transceiver is inherited by workcells for communication functions. This programming model makes it very easy to write highly interactive programs as demonstrated by this project with very easy addition of plugin tools. -
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Point-E
Point cloud diffusion for 3D model synthesis
point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second diffusion model converts that image into a 3D point cloud. ... -
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TextBox
A text generation library with pre-trained language models github.com
TextBox 2.0 is an up-to-date text generation library based on Python and PyTorch focusing on building a unified and standardized pipeline for applying pre-trained language models to text generation. From a task perspective, we consider 13 common text generation tasks such as translation, story generation, and style transfer, and their corresponding 83 widely-used datasets. From a model perspective, we incorporate 47 pre-trained language models/modules covering the categories of general, translation, Chinese, dialogue, controllable, distilled, prompting, and lightweight models (modules). From a training perspective, we support 4 pre-training objectives and 4 efficient and robust training strategies, such as distributed data parallel and efficient generation. ... -
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Emb-GAM
An interpretable and efficient predictor using pre-trained models
...In contrast, generalized additive models (GAMs) can maintain interpretability but often suffer from poor prediction performance due to their inability to effectively capture feature interactions. In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for each input before learning a linear model in the embedding space. The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability. -
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AWS IoT Over-the-air Update Library
Manage the notification of a newly available update
...In addition, the OTA library lets you define application-specific logic for testing, committing, or rolling back a firmware update. The library supports different application protocols like Message Queuing Telemetry Transport (MQTT) and Hypertext Transfer Protocol (HTTP), and provides various configuration options you can fine-tune depending on network type and conditions. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8. -
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PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please... -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. ... -
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Tables of the Sun
A Re-implementation of Newcomb's Theory of the Sun
Simon Newcomb published his theory, known as Tables of the Sun, in 1898. It was used by the American Ephemeris and the Astronomical Almanac into the 1980's to compute the daily positions of the Sun. This Theory is a semi-analytic model which expresses quantities as a trigonometric series with numerical coefficients. This type of model produces a compact computer function which has enough accuracy to be useful to most users. My goal is to create a model using C which will reproduce exactly the results published in the Astronomical Almanac for the years 1981, 1982 and 1983. -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
...We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the new FullyShardedDataParallel (FSDP) wrapper provided by fairscale. Fairseq can be extended through user-supplied plug-ins. Models define the neural network architecture and encapsulate all of the learnable parameters. Criterions compute the loss function given the model outputs and targets. ... -
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STL viewer
STL Viewer for java
... - install unzip distributed stlviewer*.zip - run go into the directory run: java -jar stlviewer.jar In Windows and various OS, you may be able to run it by simply double clicking on the jar file. Navigation - holding / dragging the left mouse button rotates the model - holding / dragging the right mouse button pan the model - rotating the mouse wheel forward moves away from the model / backward moves towards the model - clicking home on the toolbar reverts to the initial view - Pre-requisites Release 0.9.0 Java 11 JDK/JRE. Some JDK/JRE broke the right button pan function. If you encounter the issue, try Tools > "fix mouse interactions" Release 0.8.0 Java 8 JDK/JRE. this is the previous working release. ... -
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series... -
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CoolplaySpark
Spark Cool Play: Spark source code analysis, Spark class library, etc.
...It serves as a companion resource for the book 深入理解Spark核心思想与源码分析 (In-Depth Understanding of Spark’s Core Concepts and Source Code Analysis). The project contains annotated examples, explanations, and exercises that guide learners through Spark’s architecture, execution model, and source code internals. It is particularly valuable for developers who want to strengthen their understanding of Spark by not only using it as a data processing engine but also exploring how its internals function. Through code analysis and commentary, CoolplaySpark helps readers connect theoretical concepts with practical implementation details. ... -
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Vale
Compiler for the Vale programming language
Vale is a systems programming language and compiler that strives to combine performance, safety, and ease in a way that avoids many of the complexities of traditional memory management techniques. It is ahead-of-time (AOT) compiled, targeting LLVM as a backend, and is statically typed. The language introduces a concept called generational references to provide memory safety without relying on a garbage collector, and aims for “safe without a borrow checker” (i.e. reducing the burden on the...
