Search Results for "python programming language" - Page 74
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Showing 3870 open source projects for "python programming language"
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or... -
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Kitten
A statically typed concatenative systems programming language
Kitten is an experimental, concatenative programming language that blends Forth/Joy-style stack programming with modern static typing and effect tracking. Programs are composed by chaining small words that transform a typed stack, and the compiler uses type inference to ensure compositions are valid. The language explores disciplined handling of side effects, aiming to separate pure transformations from operations that perform I/O or mutate state. -
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unit-minions
AI R&D Efficiency Improvement Research: Do-It-Yourself Training LoRA
"AI R&D Efficiency Improvement Research: Do-It-Yourself Training LoRA", including Llama (Alpaca LoRA) model, ChatGLM (ChatGLM Tuning) related Lora training. Training content: user story generation, test code generation, code-assisted generation, text to SQL, text generation code. -
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picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy
picoGPT is a minimal implementation of the GPT-2 language model designed to demonstrate how transformer-based language models work at a conceptual level. The repository focuses on educational clarity rather than production performance, implementing the core components of the GPT architecture in a concise and readable way. It allows users to understand how tokenization, transformer layers, attention mechanisms, and autoregressive text generation operate in modern large language models. The... -
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MiniChain
A tiny library for coding with large language models
...It includes model abstractions for language models as well as tools such as Python execution. A browser interface can display examples, subprompts, outputs, and queued runs for interactive demonstrations. The project emphasizes readable code and lightweight experimentation rather than a large production framework. -
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Chameleon LLM
Codes for "Chameleon: Plug-and-Play Compositional Reasoning
Discover Chameleon, our cutting-edge compositional reasoning framework designed to enhance large language models (LLMs) and overcome their inherent limitations, such as outdated information and lack of precise reasoning. By integrating various tools such as vision models, web search engines, Python functions, and rule-based modules, Chameleon delivers more accurate, up-to-date, and precise responses, making it a game-changer in the natural language processing landscape. ... -
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AI Code Translator
Use AI to translate code from one language to another
AI Code Translator is a web-based tool that leverages AI to translate source code from one programming language to another, making cross-language porting or code conversion significantly easier — useful when migrating codebases, experimenting across languages, or learning how code patterns map across languages. The UI is built with Next.js + TypeScript, plus modern tooling like Tailwind CSS, giving a clean frontend experience where you paste or upload code, select target language, and get output quickly. ... -
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PU2CLR SI4735 Arduino Library
This document is aimed at the Arduino developers, radio experimenters
This library uses the I²C communication protocol and implements most of the functions offered by Si47XX (BROADCAST AM / FM / SW / LW RADIO RECEIVER) IC family from Silicon Labs. This library also has primitive functions that make it easier for you to implement commands that may not have been implemented yet. See setProperty, getProperty sendCommand, getCommandResponse and getStatusResponse functions and also How to customize PU2CLR Arduino Library. It is worth noting, however, that this... -
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LM Human Preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
lm-human-preferences is the official OpenAI codebase that implements the method from the paper Fine-Tuning Language Models from Human Preferences. Its purpose is to show how to align language models with human judgments by training a reward model from human comparisons and then fine-tuning a policy model using that reward signal. The repository includes scripts to train the reward model (learning to rank or score pairs of outputs), and to fine-tune a policy (a language model) with... -
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SentimentAnalysis-Rick&Morty
Rick & Morty Sentiment Analysis - End-of-Degree Project - UNIR
...In this end-of-degree work, we analyze and classify the dialogue of characters in an English-language television series as "Rick and Morty" using Python. The objective is to identify and categorize the feelings and emotions expressed in the text, comparing the human perception of the characters' personalities with the results obtained using natural language processing techniques. -
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Transformers-Interpret
Model explainability that works seamlessly with Hugging Face
Transformers-Interpret is an interpretability tool for Transformer-based NLP models, providing insights into attention mechanisms and feature importance. -
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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather than continuous signal regression as in previous work. During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems.... -
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textacy
NLP, before and after spaCy
textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals, tokenization, part-of-speech tagging, dependency parsing, etc., delegated to another library, textacy focuses primarily on the tasks that come before and follow after. -
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A Guide to Java 8
Introduction to Java 8
...Later sections explain Optional, streams, parallel streams, Map enhancements, the new Date and Time API, and annotations. Examples demonstrate filtering, mapping, sorting, reduction, and other common functional programming patterns. The repository is intended as a compact reference for developers moving from earlier Java versions to Java 8. -
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T81 558
Applications of Deep Neural Networks
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network... -
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ChatGenTitle
A paper title generation model fine-tuned on the LLaMA model
ChatGenTitle: A paper title generation model fine-tuned on the LLaMA model using information from millions of arXiv papers. -
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pyllama
LLaMA: Open and Efficient Foundation Language Models
📢 pyllama is a hacked version of LLaMA based on original Facebook's implementation but more convenient to run in a Single consumer grade GPU. -
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Enterprise
The Enterprise™ programming language
Enterprise is a satirical open-source project that humorously critiques corporate software development practices by presenting intentionally overengineered and unnecessarily complex code structures. Rather than aiming to solve a practical technical problem, it serves as a parody of enterprise-grade software, showcasing exaggerated patterns such as excessive abstraction, redundant layers, and convoluted architectures. The repository is often used as a teaching tool to highlight anti-patterns... -
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LTEX LS
LTeX Language Server: LSP language server for LanguageTool
LTEX LS (LTEX Language Server) implements a language server according to the Language Server Protocol (LSP) and provides grammar and spelling errors in markup documents (LATEX, Markdown, etc.). The documents are checked with LanguageTool. Typically, you start the language server (either locally or remotely), you send the language server your LATEX or Markdown document, and it will respond with a list of the grammar and spelling errors in it. To use LTEX LS in this way, you have to use a... -
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Bot on Anything
Large model-based chatbot builder that can quickly integrate AI models
Bot on Anything is a versatile open-source AI chatbot builder that lets developers connect large language models such as ChatGPT, Claude, and Gemini to virtually any messaging platform, website, or interface with minimal configuration. At its heart, the project abstracts away the glue logic between AI model APIs and disparate application “channels,” enabling the same bot logic to run in Slack, Telegram, Gmail, enterprise tools, web UIs, or command-line terminals. Configuration is handled... -
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XL (eXtensible Language) is a general purpose compiled programming language. XL doesn't force you to use a limited set of concepts (such as "objects"). Instead, it can be extended (through libraries) to use the concepts that are natural to your a
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AIAST
AIAST –An advanced interactive application security tool
AIAST –An advanced interactive application security tool identifying vulnerabilities in both self-developed code and open-source dependencies. Seamlessly integrate into CI/CD and can be applied in both application development phase and application deployment phase. ZeroDay –A global company headquartered in the U.K., focusing on R&D of state-of-the-art application security testing tools. Shift left security, and build security into DevSecOps. Technical Details Identifying... -
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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. -
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crawly
High-level web crawling and scraping framework for Elixir apps
Crawly is a high-level application framework for crawling websites and extracting structured data using the Elixir programming language. It provides a complete environment for building web crawlers that systematically visit pages, collect information, and transform that data into structured formats for further processing. Crawly is designed for tasks such as data mining, information processing, and building historical archives of web content. Crawly follows the Elixir and OTP architecture model, enabling concurrent and fault-tolerant crawling processes that can handle many requests efficiently. ... -
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objecticon
The Object Icon programming language
The Object Icon programming language, migrated to Git from the Subversion at https://sourceforge.net/projects/objecticon/ Mirrored from https://github.com/chemoelectric/objecticon
