Stars
Rich is a Python library for rich text and beautiful formatting in the terminal.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Uplift modeling and causal inference with machine learning algorithms
A Unified Toolkit for Deep Learning Based Document Image Analysis
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Code and dataset for photorealistic Codec Avatars driven from audio
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Send WhatsApp message at certain time and many other things.
Notebooks for Large Language Models (LLMs) Specialization
DoubleML - Double Machine Learning in Python
Read OpenStreetMap data from Protobuf files into GeoDataFrame with Python, faster.
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Add geolocalised subsetting, masking, and plotting operations to xarray
A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
High dimensional fixed effect absorption with Python 3
LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.