Search Results for "learning language" - Page 29
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Showing 1020 open source projects for "learning language"
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DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python
Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning. -
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ECDICT
Free English to Chinese Dictionary Database
ECDICT is a comprehensive English–Chinese dictionary dataset packaged for developers who need an offline, queryable lexicon for applications, NLP, or educational tools. It aggregates headwords, phonetics, parts of speech, translations, and example information into formats that are easy to integrate. The project provides multiple distribution forms—commonly SQLite/CSV/StarDict-style files—so you can choose the right storage and query approach for your app. Because it’s offline and local, it... -
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SLING
A natural language frame semantics parser
The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic... -
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Modern C++ Tutorial
Modern C++ Tutorial: C++11/14/17/20 On the Fly
...Those C++ programmers who still insist on using traditional C++ (this book refers to C++98 and the previous C++ features as traditional C++) but have not been exposed to modern C++ are seeing things like Lambda expressions. When it comes to class new features, it will even reveal the feeling of wonder that "you are not learning the same language. A large number of features injected into traditional C++ make the entire C++ more like a modern language. Modern C++ not only enhances the usability of the C++ language itself, but automates the modification of keyword semantics. -
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EvalAI
Evaluating state of the art in AI
EvalAI is an open-source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. We allow the creation of an arbitrary number of evaluation phases and dataset splits, compatibility using any programming language, and organizing results in both public and private leaderboards. Certain large-scale challenges need special computing capabilities for evaluation. -
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Tensor Comprehensions
A domain specific language to express machine learning workloads
Tensor Comprehensions (TC) is a fully functional C++ library that automatically synthesizes high-performance machine learning kernels using Halide, ISL, and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and PyTorch. We provide more details in our paper on arXiv. This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor library with memory allocation, offloading, and synchronization capabilities. -
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Keras resources
Directory of tutorials and open-source code repositories
Keras resources is a curated directory of tutorials, projects, and educational materials designed to help developers learn and work effectively with the Keras deep learning library. It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models, providing both theoretical and practical insights. ... -
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MoodlePeers
[we moved to github! see link]
Learning group formation by manifold homogeneous and heterogeneous to match criteria - will be provided by plugins for the learning management system Moodle. Other accompanying plugins will be usable basedon Moodle groups: - provide learning analytics for learning goals (individually visualized in comparison to group and course) - group tasks to be performed collaboratively Language support: primarily English and German. -
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OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
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Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It... -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract... -
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anpe
anpe is Ada Neural Prolog Engine
anpe is clients/server Ada/Prolog system for natural language traitement with Prolog Engine and Artificial Neural Network with Ada. -
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AI learning
AiLearning, data analysis plus machine learning practice
We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,... -
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House3D
A Realistic and Rich 3D Environment
House3D is a large-scale virtual 3D simulation environment designed to support research in embodied AI, reinforcement learning, and vision-language navigation. It provides more than 45,000 richly annotated indoor scenes sourced from the SUNCG dataset, covering diverse architectural layouts such as studios, multi-floor homes, and spaces with detailed furnishings and room types. Each environment includes fully labeled 3D objects, allowing agents to perceive and interact with their surroundings through multiple sensory modalities including RGB images, depth maps, semantic segmentation masks, and top-down maps. ... -
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Vocabulary Master
Tries to make your words and phrases learning much easier.
Tries to make your words and phrases learning much easier. Words and phrases are at regular intervals randomly selected and displayed in the window. Main features: - optional time interval of words learning - show answer with delay - custom learning templates - sound and visual notifications - text to speech support Vocabulary manager: - any number of categories of words - words search - category and word priorities - import / export words General: - UNICODE support (ability to write into the dictionary in Russian, Japanese, etc... -
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Learn Sindhi 2017
Learn Sindhi 2017 is Language Learning Project For Sindhi Language
Learn Sindhi 2017 is porject of Sindhi Language Learning by Sindhi Language Authority-Hyderabad Sindh, in this software Sindhi Language is taught in Urdu English and Roman Script from basics to Advanced Grammer of Sindhi Language including Pictures, animations and sound with amazing Exercises Developed ByL Fahad Hussain Memon, Anees Kaka Cource Designed by Dr. Fahmeeda Hussain Memon sound by Anees kaka, Dr Fahameeda Hussain Asad Bhutto and others -
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WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. -
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Deep Learning
Deep Learning Book Chinese Translation
With the help and proofreading of many netizens, the Chinese version was finally published. Although there are still many problems, at least 90% of the content is readable and accurate. We have preserved the meaning of the original book Deep Learning as much as possible and retained the original language of the book. However, our level is limited, and we cannot eliminate the variance of many readers. We still need everyone's advice and help to reduce translation bias together. All you have to do is read, then aggregate your suggestions and raise issues (preferably not one by one). ... -
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DataScienceR
a curated list of R tutorials for Data Science, NLP
The DataScienceR repository is a curated collection of tutorials, sample code, and project templates for learning data science using the R programming language. It includes an assortment of exercises, sample datasets, and instructional code that cover the core steps of a data science project: data ingestion, cleaning, exploratory analysis, modeling, evaluation, and visualization. Many of the modules demonstrate best practices in R, such as using the tidyverse, R Markdown, modular scripting, and reproducible workflows. ... -
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Learning JavaScript Design Patterns
Repo for my 'Learning JavaScript Design Patterns' book
Learning JavaScript Design Patterns is released under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 unported license. It is available for purchase via O'Reilly Media but will remain available for both free online and as a physical (or eBook) purchase for readers wishing to support the project. This edition was updated to ES2015+ syntax in 2021. -
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GNAT
GNAT recognizes gene names in text and maps them to NCBI Entrez Gene
GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/. -
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Seq2Seq Chatbot
Chatbot in 200 lines of code using TensorLayer
Seq2Seq Chatbot is an implementation of a sequence-to-sequence chatbot model using TensorLayer, demonstrating how to build conversational agents with minimal code. -
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Software designed for remediation of dyscalculia (or mathematical learning disabilities) in children aged 4-8 and for teaching number sense in kindergarten children. For more information, visit the unicog lab website using the link below. NOTE: To use The Number Race, you may need to download TWO files, the main program (above), AND a language pack. To get to the language packs, click on "Files" on the menu bar above, and select version and the appropriate language. ...
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DMTK
Microsoft Distributed Machine Learning Toolkit
...This architecture allows developers to build machine learning systems capable of processing massive datasets and training complex models with reduced infrastructure requirements. DMTK also includes several specialized algorithms and systems, such as LightLDA for large-scale topic modeling and distributed implementations of word embedding techniques used in natural language processing. -
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ES6 Tutorial
ECMAScript 6
This is a comprehensive, book-style tutorial that teaches modern JavaScript beginning with ES6 and continuing into later additions to the language. It introduces core syntax like let/const, template literals, destructuring, modules, and classes before moving to promises, generators, async/await, proxies, and symbols. Each chapter mixes explanation with concise examples, emphasizing why a feature exists and how to use it idiomatically. The material serves both as a learning path and a reference you can revisit when you forget specific details or edge cases. ...
