Jupyter Notebook

TensorFlow Python Notebooksaymericdamien/TensorFlow-Examples

A comprehensive collection of TensorFlow tutorials and examples for beginners, covering both TF v1 and v2 with clear explanations.

Kalman-and-Bayesian-Filters-in-Pythonrlabbe/Kalman-and-Bayesian-Filters-in-Python

An interactive Jupyter Notebook book teaching Kalman and Bayesian filters through Python code and practical examples.

Dive into Machine Learninghangtwenty/dive-into-machine-learning

A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.

Dive into Machine Learninghangtwenty/dive-into-machine-learning

A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.

Stock-Prediction-Modelshuseinzol05/Stock-Prediction-Models

A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.

Q# samplesMicrosoft/Quantum

A collection of sample applications demonstrating quantum programming concepts and algorithms using Microsoft's Quantum Development Kit.

Sungjoon's TensorFlow-101sjchoi86/Tensorflow-101

A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.

Penglabmxrch/penglab

A Google Colab notebook setup for high-performance hash cracking and penetration testing tools.

FarmVibes.AImicrosoft/farmvibes-ai

An open-source framework for building multi-modal geospatial ML models that fuse satellite, drone, and weather data for agriculture and sustainability insights.

jupynium.nvimkiyoon/jupynium.nvim

A Neovim plugin that provides real-time, bidirectional synchronization with Jupyter Notebook using Selenium automation.

ipydatagridbloomberg/ipydatagrid

A fast, interactive datagrid widget for Jupyter Notebook and JupyterLab with advanced features like selections, renderers, and conditional formatting.

Food-Recipe-CNNMurgio/Food-Recipe-CNN

A deep learning system that classifies food images into 230 categories and retrieves matching recipes using convolutional neural networks.

nbtutorlgpage/nbtutor

Visualize Python code execution line-by-line within Jupyter Notebook cells for debugging and educational purposes.

Huang et al ClinicalBERTkexinhuang12345/clinicalBERT

A BERT-based language model pretrained on clinical notes for predicting hospital readmissions and analyzing medical text.

LotteryPredictchengstone/LotteryPredict

A practical demo using LSTM neural networks with TensorFlow to predict lottery numbers.

AutomatedStockTrading-DeepQ-Learningsachink2010/AutomatedStockTrading-DeepQ-Learning

A Deep Q-learning reinforcement learning agent for automated stock trading using historical market data.

Usiigacioist/usiigaci

A semi-automated pipeline for instance-aware cell segmentation, tracking, and migration analysis in phase contrast microscopy using Mask R-CNN.

Summary Generation From Structured Dataakanimax/natural-language-summary-generation-from-structured-data

A TensorFlow implementation of neural text generation from structured data, converting tabular information into natural language summaries.

captchaarunpatala/captcha

A Torch-based deep learning project for breaking CAPTCHA systems using CNN and RNN architectures.

FLIP (Fitness Landscape Inference for Proteins)J-SNACKKB/FLIP

A benchmark suite of protein sequence tasks to evaluate machine learning models for protein design.

fields-ignitionazazdeaz/fields-ignition

Generates random crop field environments for agricultural robot simulation in Ignition Gazebo.

xrays-and-gradcampriyavrat-misra/xrays-and-gradcam

A PyTorch-based project for classifying chest X-rays and localizing pathologies using Grad-CAM with fine-tuned CNN models.

UnitedNetLiuLab-Bioelectronics-Harvard/UnitedNet

An interpretable multi-task deep neural network for single-cell multi-omics integration and cross-modal analysis.

Quantitative-TradingCeruleanacg/Quantitative-Trading

A collection of academic papers and code implementations for quantitative trading strategies.

bus_kalmancmoscardi/bus_kalman

A Kalman Filter implementation to interpolate and smooth bus positions between noisy GPS measurements.

A implementation of Shor's algorithm written in Python calling Q# for the quantum partMichaelvll/myQShor

A Python implementation of Shor's algorithm that calls Q# for quantum phase estimation, featuring cross-language interoperability and parallel computation.

fastest-bus-analysis-in-the-westvta/fastest-bus-analysis-in-the-west

Compiles and analyzes bus and light rail speed, reliability, and ridership data from multiple sources for transportation insights.