AIProjectPulse - Discover Noteworthy AI & Machine Learning GitHub Projects
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AIProjectPulse - Discover Noteworthy AI & Machine Learning GitHub Projects

AIProjectPulse

Discover the most innovative AI and machine learning projects from GitHub.

Featured image for tts-generation-webui:' Comprehensive TTS Web Interface Tool

tts-generation-webui:' Comprehensive TTS Web Interface Tool

 published on  included in  category TypeScript
GitHub Stats Value
Stars 1639
Forks 178
Language TypeScript
Created 2023-04-27
License MIT License

The ’tts-generation-webui’ project is a comprehensive tool designed to facilitate text-to-speech (TTS) generation and voice cloning. It supports a wide range of models, including Bark, MusicGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNeT, Stable Audio, Maha TTS, and more. This web interface allows users to easily generate speech from text and clone voices using various advanced models. While not all models are compatible with every platform (e.g., MusicGen and AudioGen are not supported on MacOS), the project offers a versatile solution for those interested in TTS and voice cloning technologies. Exploring this project can be highly beneficial for anyone looking to leverage these capabilities in their work or personal projects.

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 Gradio, Machine-Learning, Text-to-Speech, Tts, Web, Ai, Audio-Generation, Deep-Learning, Torch, Bark, Generator, Music, Musicgen, Rvc, Tortoise-Tts, Audiogen, Vocos, Seamlessm4t, Magnet, Styletts2

2025-AI-College-Jobs: Daily Updated AI/ML Internships and New Grad Listings

 published on  included in  category Categories
GitHub Stats Value
Stars 67
Forks 0
Language
Created 2024-09-11
License -

The ‘2025-AI-College-Jobs’ project is a valuable resource for college students seeking internships or new graduate positions in the fields of Artificial Intelligence (AI), Machine Learning (ML), and Data Science. This repository provides a daily updated list of available jobs, focusing on positions posted within the last 120 days. It includes a comprehensive breakdown of internships and new graduate opportunities in both the USA and internationally, covering top companies such as FAANG and quant firms. This project is worth exploring as it simplifies the job search process, saving time and effort for students looking to kickstart their careers in AI and related fields.

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 Ai, Applications, Artificial-Intelligence, College, Fulltime, Hiring, Intern, Internship, Internships, Interviews, Jobs, Junior, Newgrad, Quant, University, Jobbboard, Machine-Learning, Data, Data-Science, Ml
Featured image for AdalFlow: Modular Library for LLM Optimization

AdalFlow: Modular Library for LLM Optimization

 published on  included in  category Python
GitHub Stats Value
Stars 1344
Forks 117
Language Python
Created 2024-04-19
License MIT License

AdalFlow is a comprehensive library designed to build and auto-optimize Large Language Model (LLM) applications. It offers a modular and robust framework, similar to PyTorch, making it powerful yet lightweight. AdalFlow provides model-agnostic building blocks for creating LLM task pipelines, including Retrieval-Augmented Generation (RAG), agents, and classical NLP tasks like text classification and named entity recognition. The library features a unified auto-differentiative framework for both zero-shot and few-shot prompt optimization, advancing existing research with innovations like “Text-Grad 2.0” and “Learn-to-Reason Few-shot In Context Learning.” This makes AdalFlow an invaluable tool for AI researchers, product teams, and software engineers looking to enhance their LLM applications efficiently.

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 Agent, Framework, Llm, Rag, Generative-Ai, Machine-Learning, Nlp, Python, Retriever, Ai, Chatbot, Information-Retrieval, Question-Answering, Summarization, Bm25, Faiss, Reranker, Optimizer, Trainer
Featured image for Advanced_RAG: Guided RAG Notebooks for LLM Enhancement

Advanced_RAG: Guided RAG Notebooks for LLM Enhancement

 published on  included in  category
GitHub Stats Value
Stars 194
Forks 35
Language Jupyter Notebook
Created 2024-03-28
License -

Advanced_RAG is a comprehensive project designed to enhance your understanding of Retrieval-Augmented Generation (RAG) using the Langchain framework. This collection of Python notebooks guides you through the process of integrating rich, contextual knowledge into Large Language Models (LLMs). It covers the basic architecture of RAG, visualizing the flow from user input to the final generated response. The project also delves into advanced techniques, including multi-query retrievers and various agentic RAG models, such as self-reflection, adaptive, and corrective agentic RAG. By exploring these notebooks, you can gain a deep insight into how to leverage RAG to improve the performance and accuracy of LLMs.

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 Langchain, Machine-Learning, Nlp, Rag, Retrival-Augmented, Vectordb, Genai, Chatgpt, Openai, Llm, Agent, Agents, Ai, Llama3

ai-renamer: Intelligent File Renamer using AI Models

 published on  included in  category JavaScript
GitHub Stats Value
Stars 1498
Forks 93
Language JavaScript
Created 2024-07-07
License GNU General Public License v3.0

The ‘ai-renamer’ project is a Node.js CLI tool designed to intelligently rename files based on their contents using advanced language models from Ollama and LM Studio, such as Llava, Gemma, and Llama. This tool simplifies the process of organizing files by automatically generating descriptive names, making it particularly useful for videos, images, and other file types. To use ‘ai-renamer’, you need to have the necessary models and dependencies installed, including ffmpeg for video renaming. It can be run either with NPX or by installing it globally via NPM. This tool is worth exploring for anyone looking to streamline their file management with the power of AI.

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 Ai, Automation, Cli-Tool, File-Management, File-Renamer, Files, Llama3, Machine-Learning, Ollama, Lm-Studio, Openai, Image-Renamer, Video-Renamer

AIDE: AI-Powered ML Code Generation Tool

 published on  included in  category Python
GitHub Stats Value
Stars 308
Forks 25
Language Python
Created 2024-04-03
License MIT License

Aideml, powered by the AIDE (Machine Learning CodeGen Agent), is a revolutionary tool designed to streamline machine learning tasks. It generates solutions directly from natural language descriptions, making it easier for users to tackle complex data science problems. In a benchmark of over 60 Kaggle competitions, AIDE outperformed 50% of participants on average. Key features include the ability to instruct the system using natural language, receiving deliverable solutions in Python code, and the capability for iterative optimization. This tool offers transparency, reproducibility, and the flexibility to further enhance the generated code, making it a valuable asset for data scientists and machine learning practitioners.

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 Ai, Data-Science, Llm, Machine-Learning