It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection.
Please cite our following papers if you use the data set for your publications. Other branches such as "new-schema" are outdated and unstable.
Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
MarkPDFDown English | 中文 | 日本語 | Русский | فارسی | العربية [![Size]][huburl] [![Pulls]][huburl] [![Tag]][tagurl] [![License]][licenseurl] A powerful tool that leverages multimodal large language models to transcribe PDF files into Markdown format. Try our desktop application for a more user-friendly experience!
This repository provides the code for fine-tuning BioBERT, a biomedical language representation model designed for biomedical text mining tasks such as biomedical named entity recognition, relation extraction, question answering, etc. Please refer to our paper BioBERT: a pre-trained biomedical language representation model for biomedical text mining for more details.
Tired of wasting thousands of dollars on API subscriptions to support all your automations? The 100% FREE No-Code Architects Toolkit API processes different types of media.
[ Read the Docs ] 日本語 | 中文简体 | 中文繁體 --- Code and data for the following works: SWE-bench is a benchmark for evaluating large language models on real world software issues collected from GitHub. Given a codebase and an issue, a language model is tasked with generating a patch that resolves the described problem.
[comment]: <> (Add badges for coverage when we have tests, update repo for other types of badges!) aequitas is an open-source bias auditing and Fair ML toolkit for data scientists, machine learning researchers, and policymakers. We provide an easy-to-use and transparent tool for auditing predictors of ML models, as well as experimenting with "correcting biased model" using Fair ML methods in binary classification settings.
⚠️ Warning: Not Actively Maintained This repository is no longer actively maintained. For a more up-to-date alternative, please visit the LitGPT project: https://github.com/Lightning-AI/litgpt , which serves as the successor to this repository.
If you are a musician looking to use Surge XT, please download the appropriate binary from our website. Surge Synth Team makes regular releases for all supported platforms.
Welcome to the Cleaned Alpaca Dataset repository! This repository hosts a cleaned and curated version of a dataset used to train the Alpaca LLM (Large Language Model).
In a nutshell, we aim to generate polyphonic music of multiple tracks (instruments). The proposed models are able to generate music either from scratch, or by accompanying a track given a priori by the user.
AI-powered penetration testing assistant using local LLM on linux (Parrot OS) --- Metatron is a CLI-based AI penetration testing assistant that runs entirely on your local machine — no cloud, no API keys, no subscriptions. It runs real recon tools (nmap, whois, whatweb, curl, dig, nikto), feeds all results to a locally running AI model, and the AI analyzes the target, identifies vulnerabilities, suggests exploits, and recommends fixes.
Prompt with an image/video → Get runnable vision code → Build Visual AI App in minutes Discord · Architecture · YouTube VisionAgent is the Visual AI pilot from LandingAI. Give it a prompt and an image, and it automatically picks the right vision models and outputs ready‑to‑run code—letting you build vision‑enabled apps in minutes.
This is a proof of concept for an AI-powered hedge fund. The goal of this project is to explore the use of AI to make trading decisions.
A collection of prompts for AI-assisted development with Claude Code. https://www.youtube.com/watch?v=KVOZ9s1S9Gk&lc=UgzfwxvFjo6pKEyPo1R4AaABAg Found value in these resources?
Training and inference code for audio generation models Requires PyTorch 2.5 or later for Flash Attention and Flex Attention support. Development for the repo is done in Python 3.10.
Version, test, and monitor every prompt and agent with robust evals, tracing, and regression sets. --- This library provides convenient access to the PromptLayer API from applications written in python.
code examples with explanations, different use cases and links to further readings. It is a playground because you may change or add the code to see how it works and test it out using assertions.
We also introduce a diffusion-based value model that reduces variance and improves stability during optimization. Based on TraceRL, we derive a series of diffusion language models, TraDo, which achieve state-of-the-art performance on math and coding reasoning tasks.
It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection.
Please cite our following papers if you use the data set for your publications. Other branches such as "new-schema" are outdated and unstable.
Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
MarkPDFDown English | 中文 | 日本語 | Русский | فارسی | العربية [![Size]][huburl] [![Pulls]][huburl] [![Tag]][tagurl] [![License]][licenseurl] A powerful tool that leverages multimodal large language models to transcribe PDF files into Markdown format. Try our desktop application for a more user-friendly experience!
This repository provides the code for fine-tuning BioBERT, a biomedical language representation model designed for biomedical text mining tasks such as biomedical named entity recognition, relation extraction, question answering, etc. Please refer to our paper BioBERT: a pre-trained biomedical language representation model for biomedical text mining for more details.
Tired of wasting thousands of dollars on API subscriptions to support all your automations? The 100% FREE No-Code Architects Toolkit API processes different types of media.
[ Read the Docs ] 日本語 | 中文简体 | 中文繁體 --- Code and data for the following works: SWE-bench is a benchmark for evaluating large language models on real world software issues collected from GitHub. Given a codebase and an issue, a language model is tasked with generating a patch that resolves the described problem.
[comment]: <> (Add badges for coverage when we have tests, update repo for other types of badges!) aequitas is an open-source bias auditing and Fair ML toolkit for data scientists, machine learning researchers, and policymakers. We provide an easy-to-use and transparent tool for auditing predictors of ML models, as well as experimenting with "correcting biased model" using Fair ML methods in binary classification settings.
⚠️ Warning: Not Actively Maintained This repository is no longer actively maintained. For a more up-to-date alternative, please visit the LitGPT project: https://github.com/Lightning-AI/litgpt , which serves as the successor to this repository.
If you are a musician looking to use Surge XT, please download the appropriate binary from our website. Surge Synth Team makes regular releases for all supported platforms.
Welcome to the Cleaned Alpaca Dataset repository! This repository hosts a cleaned and curated version of a dataset used to train the Alpaca LLM (Large Language Model).
In a nutshell, we aim to generate polyphonic music of multiple tracks (instruments). The proposed models are able to generate music either from scratch, or by accompanying a track given a priori by the user.
AI-powered penetration testing assistant using local LLM on linux (Parrot OS) --- Metatron is a CLI-based AI penetration testing assistant that runs entirely on your local machine — no cloud, no API keys, no subscriptions. It runs real recon tools (nmap, whois, whatweb, curl, dig, nikto), feeds all results to a locally running AI model, and the AI analyzes the target, identifies vulnerabilities, suggests exploits, and recommends fixes.
Prompt with an image/video → Get runnable vision code → Build Visual AI App in minutes Discord · Architecture · YouTube VisionAgent is the Visual AI pilot from LandingAI. Give it a prompt and an image, and it automatically picks the right vision models and outputs ready‑to‑run code—letting you build vision‑enabled apps in minutes.
This is a proof of concept for an AI-powered hedge fund. The goal of this project is to explore the use of AI to make trading decisions.
A collection of prompts for AI-assisted development with Claude Code. https://www.youtube.com/watch?v=KVOZ9s1S9Gk&lc=UgzfwxvFjo6pKEyPo1R4AaABAg Found value in these resources?
Training and inference code for audio generation models Requires PyTorch 2.5 or later for Flash Attention and Flex Attention support. Development for the repo is done in Python 3.10.
Version, test, and monitor every prompt and agent with robust evals, tracing, and regression sets. --- This library provides convenient access to the PromptLayer API from applications written in python.
code examples with explanations, different use cases and links to further readings. It is a playground because you may change or add the code to see how it works and test it out using assertions.
We also introduce a diffusion-based value model that reduces variance and improves stability during optimization. Based on TraceRL, we derive a series of diffusion language models, TraDo, which achieve state-of-the-art performance on math and coding reasoning tasks.