Notebooks for Applied Causal Inference Powered by ML and AI

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Detecting and classifying ships from satellite images

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

Rainfall Prediction using Python from dataset in Bangladesh.

Resources for deep learning with satellite & aerial imagery

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Datasets, Transforms and Models specific to Computer Vision

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

A curated list of awesome packages, articles, and other cool resources from the Wagtail community.

Awesome Transformers (self-attention) in Computer Vision

interactive notebooks from Planet Engineering

Voilà turns Jupyter notebooks into standalone web applications

Dashboard template for Voilà based on GridStackJS

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability

A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

List of papers, code and experiments using deep learning for time series forecasting