Search Results for "language learning" - Page 23
Sort By:
Showing 934 open source projects for "language learning"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
-
1
Learn Prompting
This website is a free, open-source guide on prompt engineering
...Harsh criticism is welcome too. We launched the first ever prompt hacking competition designed to enhance AI safety and education by challenging participants to outsmart large language models from May 5th to June 3rd! The competition featured 10 increasingly difficult levels of prompt hacking defenses and the chance to win over $35,000 in prizes. Coding is a great skill to learn alongside prompt engineering. We recommend learning Python, as it is a popular language for AI and machine learning. Be among the first to access the certification program as soon as it launches. -
2
GPT-NeoX
Implementation of model parallel autoregressive transformers on GPUs
This repository records EleutherAI's library for training large-scale language models on GPUs. Our current framework is based on NVIDIA's Megatron Language Model and has been augmented with techniques from DeepSpeed as well as some novel optimizations. We aim to make this repo a centralized and accessible place to gather techniques for training large-scale autoregressive language models, and accelerate research into large-scale training. For those looking for a TPU-centric codebase, we... -
3
Simple LLM Finetuner
Simple UI for LLM Model Finetuning
Simple LLM Finetuner is a beginner-friendly interface designed to make the process of fine-tuning large language models more accessible by providing a simplified UI and workflow built around parameter-efficient techniques such as LoRA. It allows users to customize pre-trained models using relatively small datasets and modest hardware, making it feasible to experiment with LLM training even on consumer-grade GPUs or cloud environments like Google Colab. -
4
Alpa
Training and serving large-scale neural networks
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
ML Course Notes
Collaborative machine learning lecture notes from top AI courses
ML-Course-Notes is a collaborative repository that collects and organizes lecture notes covering a wide range of machine learning and artificial intelligence topics. It serves as a centralized resource where contributors share summaries and written notes derived from well-known machine learning courses. These notes cover subjects such as supervised learning, deep learning, neural networks, natural language processing, and reinforcement learning. ML-Course-Notes organizes content according to specific courses and lectures, allowing learners to navigate through structured educational material more easily. ... -
6
Unitag is a language-independent Unicode-based part-of-speech tagging system. Written entirely in ANSI-compatible C, it should (in theory) compile on any OS, but has been tested on 32-bit Windows.
-
7
PromptPapers
Curated list of prompt-learning papers for NLP research use
PromptPapers is a curated repository that collects and organizes influential research papers focused on prompt-based tuning for large-scale pre-trained language models. It serves as a centralized reading list for researchers and practitioners interested in modern prompt learning techniques, which differ from traditional fine-tuning by leveraging pre-trained tasks directly for prediction. PromptPapers categorizes papers into multiple sections such as overview, pilot work, basics, analysis, improvements, and specializations, helping users navigate the evolution of the field systematically. ... -
8
Infinite Monkeys Random Poetry Generator
n-grams & template generation, hyper-DADA, part of speech tagging
im3 incorporates part of speech tagging to generate text from templates. --> Inlcudes scripting language --> Dictionary editor --> ngram Generation --> Computer voice playback --> CMU pronouncing dictionary --> Part of Speech Training Interface --> Learning AI -
9
Golang Regex Tutorial
Golang - Regular Expression Tutorial
The Golang Regex Tutorial is a comprehensive learning resource that introduces regular expressions in the Go programming language. It is organized into chapters that progress from beginner-friendly basics to more advanced applications. The tutorial includes explanations, practical examples, and a cookbook section that shows how to apply regex solutions to real-world problems. It also provides insights into alternatives and variations of regex usage within Go. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
10
codi.vim
The interactive scratchpad for hackers
codi.vim is an interactive scratchpad and REPL-like playground inside Vim/Neovim that evaluates code as you type. It creates a live buffer where inputs on one side produce continuously updated outputs on the other, helping you prototype snippets and explore APIs quickly. The plugin supports multiple languages by leveraging system interpreters or backends and displays results inline without switching context. It focuses on minimal setup so you can open a buffer, set a filetype, and start... -
11
d2l-zh
Chinese-language edition of Dive into Deep Learning
d2l‑zh is the Chinese-language edition of Dive into Deep Learning, an interactive, open‑source deep learning textbook that combines code, math, and explanatory text. It features runnable Jupyter notebooks compatible with multiple frameworks (e.g., PyTorch, MXNet, TensorFlow), comprehensive theoretical analysis, and exercises. Widely adopted in over 70 countries and used by more than 500 universities for teaching deep learning. -
12
Lisp Koans
Common Lisp Koans is a language learning exercise
Lisp Koans is a self-guided learning path for Common Lisp that teaches the language’s idioms through a series of failing tests you progressively make pass. Each koan introduces a concept—symbols, lists, macros, multiple dispatch, reader syntax—then asks you to fill in the blanks and run the suite again. The feedback loop is intentionally tight: fail, reflect, fix, and rerun until the tests become a form of living documentation. Because koans are organized from fundamentals to... -
13
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. -
14
Advanced Go Programming Book
Book covering high-level topics such as CGO, Go assembly language
...It also connects readers to related Go learning resources and background material. The project is especially useful for developers who want to move beyond everyday Go syntax and study how complex Go systems are built. -
15
albert_zh
Implementation of A Lite Bert For Self-Supervised Learning Language
albert_zh is a Chinese ALBERT pretraining and model release repository. It implements ALBERT with TensorFlow and provides Chinese pretrained models designed to reduce parameter size while preserving strong language understanding performance. The project includes several model variants, such as tiny, small, base, large, and xlarge-style releases, giving users options for speed, size, and accuracy tradeoffs. It also provides guidance for fine-tuning downstream tasks such as sentence-pair... -
16
EZAPIYA TYPING MASTER
Ezapiya Typing Master is a software to learn typing, it supports multi
Why Use Ezapiya Typing Master? Support multiple language Ezapiya Typing master support multiple language like English, Hindi and Marathi. 15 hours of interactive exercises The aim of this feature is to guide users and allow them to practice at various levels. The customized exercises ensure that the learning is done based on practice and not just theory. Train difficult words or practice capitals and tricky keys. -
17
LightSeq
A High Performance Library for Sequence Processing and Generation
Lightseq is a high-performance library focused on efficient inference and training for deep learning models, especially large language models (LLMs) and transformer-based architectures. Its goal is to optimize both memory usage and computational throughput, enabling faster training or inference on limited hardware while maintaining model quality. Lightseq provides optimized CUDA kernels, quantization strategies, and runtime optimizations tailored for transformer operations — which often are bottlenecks in conventional frameworks — thereby reducing memory footprint, improving speed, and making deployment of large-scale models more accessible. ... -
18
Yomichan
Japanese pop-up dictionary extension for Chrome and Firefox
Yomichan turns your web browser into a tool for building Japanese language literacy by helping you to decipher texts which would be otherwise too difficult tackle. This extension is similar to Rikaichamp for Firefox and Rikaikun for Chrome, but it stands apart in its goal of being an all-encompassing learning tool as opposed to a mere browser-based dictionary. Interactive popup definition window for displaying search results. -
19
AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
20
Emb-GAM
An interpretable and efficient predictor using pre-trained models
...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. -
21
DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
Educational is an open collection of interactive tutorials created by Google DeepMind to make the fundamentals of machine learning and artificial intelligence accessible to learners of all backgrounds. The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. The tutorials cover a broad range of topics—from foundational Python programming and data handling to supervised, unsupervised, and reinforcement learning, as well as graph neural networks and scientific reasoning. ... -
22
DialoGPT
Large-scale pretraining for dialogue
DialoGPT is an open-source conversational language model developed by Microsoft Research for generating natural dialogue responses using large-scale transformer architectures. The system is built on the GPT-2 architecture and is designed specifically for multi-turn conversation tasks, enabling machines to produce coherent responses during interactive dialogue. The model was trained on a massive dataset of approximately 147 million conversational exchanges extracted from Reddit discussion... -
23
Byzer-lang
A low-code open-source programming language for data pipeline
Byzer (former MLSQL) is a low-code, open-sourced, and distributed programming language for data pipeline, analytics, and AI in a cloud-native way. Design protocol: Everything is a table. Byzer is a SQL-like language, to simplify data pipeline, analytics, and AI, combined with built-in algorithms and extensions. We believe that everything is a table, a simple and powerful SQL-like language can significantly reduce human efforts of data development without switching different tools. -
24
Pattern
Web mining module for Python, with tools for scraping
Pattern is an open-source Python library that provides tools for web mining, natural language processing, machine learning, and network analysis. The project integrates multiple capabilities into a single framework that allows developers to collect, process, and analyze textual data from the web. It includes modules for web scraping and crawling that can retrieve information from sources such as social media platforms, search engines, and online knowledge bases. -
25
WTFJS
A list of funny and tricky JavaScript examples
WTFJS is a curated collection of JavaScript “gotchas” and puzzling examples that reveal surprising corners of the language. Each entry presents a small snippet, explains why the behavior occurs, and ties it back to the specification or engine rules. The repository covers coercion quirks, edge-case comparisons, floating-point oddities, prototype traps, and scoping pitfalls, among others. It’s designed as both a fun read and a serious learning aid, helping developers build an intuition for how JavaScript evaluates expressions. ...
