ldjpr

ldjpr's Stars

• amishad23/copilot-using-langchain-and-hugging-face

  This project integrates LangChain with Hugging Face to enable text generation and question answering. It covers library setup, API authentication, and creating model instances using HuggingFaceEndpoint and HuggingFacePipeline. GPU optimization is also included for improved performance in AI tasks.

  Language:Jupyter Notebook1

• jitendrakohar/AI_Research_paper_QnA

  RAG Research Paper Q&A is a generative AI application built with Streamlit that provides users with a question-and-answer interface for research papers. The application leverages Groq's powerful language model and Hugging Face embedding to deliver contextually relevant response based on user queries. Users interact with documents stored in a folder

  Language:Jupyter Notebook1

• metabrainz/troi-recommendation-playground

  A recommendation engine playground that should hopefully make playing with music recommendations easy.

  Language:Python5524

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.4k5.7k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.8k3.4k

• Unstructured-IO/unstructured

  Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

  Language:HTML9.7k816

• olaviinha/AudioLDM

  AudioLDM: Generate speech, sound effects, music and beyond, with text.

  Language:Python11

• olaviinha/NeuralTextToAudio

  Text prompt steered synthetic audio generators

  Language:Jupyter Notebook457

• haoheliu/AudioLDM

  AudioLDM: Generate speech, sound effects, music and beyond, with text.

  Language:Python2.5k227

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX52k5k

• gkamradt/langchain-tutorials

  Overview and tutorial of the LangChain Library

  Language:Jupyter Notebook6.8k2k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97.8k15.9k

• Abonia1/CheatSheet-LLM

  cheat sheet of LLM

  19743

• promptslab/Awesome-Prompt-Engineering

  This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

  Language:Python4.1k379

• worldveil/photomosaic

  Creating fun photomosaics, GIFs, and murals from your family pictures using ML & similarity search

  Language:Jupyter Notebook65061

• n-gao/collage-generator

  A small tool to generate a collage which preserves the input images and matches the desired output resolution

  Language:Python9

• samitkapoor/Image-Collage-Generator

  A Website to generate image collages!

  Language:CSS2

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.5k1.4k

• maxi-w/CLIP-SAM

  Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.

  Language:Jupyter Notebook35232

• sail-sg/EditAnything

  Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)

  Language:Python3.3k195

• spotipy-dev/spotipy-examples

  🔰 A place to showcase the usage of spotipy

  Language:Jupyter Notebook12

• amrkhaledccd/my-moments

  Instagram Clone - Cloning Instagram for learning purpose

  Language:Java520175

• JL978/spotify-clone-server

  An authorization/authentication server that integrates the auth flow as described in the Spotify API guide. Used in conjunction with front-end apps that consume the Spotify API to increase security

  Language:JavaScript5217

• ElyaConrad/iCloud-API

  Node API for Apple's iCloud services

  Language:JavaScript1.2k98

• cjhutto/vaderSentiment

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

  Language:Python4.5k1k

• KRTirtho/spotube

  🎧 Open source Spotify client that doesn't require Premium nor uses Electron! Available for both desktop & mobile!

  Language:Dart33.4k1.4k

• towardsai/tutorials

  AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

  Language:Jupyter Notebook1k361

• ICIJ/extract

  A cross-platform command line tool for parallelised content extraction and analysis.

  Language:Java24131

• microsoft/azure-devops-python-samples

  Python samples for interacting with and managing Azure DevOps

  Language:Python10683

• andrewscofield/parse.com-php-library

  Language:PHP246137