Pinned Repositories
accidents-Barcelona_2017
arbres-paris
Analyse arbres de Paris
AssemblyAI-transcription
This is a web application that transcribes audio files using AssemblyAI's API. It's built with Streamlit.
NLP
Travail ontologie texte
nlp-cheat-sheet-python
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
notion-qa
programming-python
Some program python easy
RAG-PDF
Gradio-based RAG app for querying PDF content using multiple LLMs from OpenAI and Huggingface. Extracts and summarizes PDF text, performs Retrieval-Augmented Generation with classic and manual methods, leveraging Langchain and FAISS for text splitting and embeddings. Easily compare responses across different models and RAG techniques.
scraping-nike
Scraping nike shoes with python
Whisper
This Python code utilizes the Whisper ASR (Automatic Speech Recognition) system from OpenAI for transcription, in conjunction with Streamlit, a fast and efficient way to build data apps.
aktraiser's Repositories
aktraiser/scraping-nike
Scraping nike shoes with python
aktraiser/accidents-Barcelona_2017
aktraiser/arbres-paris
Analyse arbres de Paris
aktraiser/AssemblyAI-transcription
This is a web application that transcribes audio files using AssemblyAI's API. It's built with Streamlit.
aktraiser/NLP
Travail ontologie texte
aktraiser/nlp-cheat-sheet-python
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
aktraiser/notion-qa
aktraiser/programming-python
Some program python easy
aktraiser/Whisper
This Python code utilizes the Whisper ASR (Automatic Speech Recognition) system from OpenAI for transcription, in conjunction with Streamlit, a fast and efficient way to build data apps.
aktraiser/RAG-PDF
Gradio-based RAG app for querying PDF content using multiple LLMs from OpenAI and Huggingface. Extracts and summarizes PDF text, performs Retrieval-Augmented Generation with classic and manual methods, leveraging Langchain and FAISS for text splitting and embeddings. Easily compare responses across different models and RAG techniques.