Highlights
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Stars
FacTool: Factuality Detection in Generative AI
Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Examples and guides for using the OpenAI API
YouTube Summary with ChatGPT is a simple Chrome Extension (manifest v3) that allows you to get both YouTube video transcripts and summary of the video with OpenAI's ChatGPT AI technology.
GO implementation of the Terra Protocol
A community-curated list of awesome projects and resources related to the Golem peer-to-peer computational resources marketplace.
Roadmap to becoming a data engineer in 2021
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Best Practices on Recommendation Systems
Open-source IoT Platform - Device management, data collection, processing and visualization.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
CLI tool for creating a Python Package Repository in an S3 bucket.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Create your own dashboard web app with free resources
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Projections of COVID-19, in standardized format
Fn-Lock switcher for ThinkPad Compact Bluetooth Keyboard with TrackPoint
My personal notes, presentations, and notebooks on everything Deep Learning.
All Algorithms implemented in Python
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
markdown2: A fast and complete implementation of Markdown in Python
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Visually explore, understand, and present your data.
A unified framework for machine learning with time series