mlombardia's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
tauri-apps/tauri
Build smaller, faster, and more secure desktop applications with a web frontend.
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
redwoodjs/redwood
The App Framework for Startups
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
facebookresearch/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
iterative/cml
♾️ CML - Continuous Machine Learning | CI/CD for ML
juanjoDiaz/serverless-plugin-warmup
Keep your lambdas warm during winter. ♨
TorchEnsemble-Community/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
AlaaLab/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
anujvyas/Machine-Learning-Projects
This repository consists of all my Machine Learning Projects.
random-forests/tutorials
mxc19912008/Andrew-Ng-Machine-Learning-Notes
The offical notes of Andrew Ng Machine Learning in Stanford University
krishnaik06/Natural-Language-Processing
raveendarv/AppliedAiCourse-AssignmentAndNotes
This repo contains the Applied Ai Course Assignments and Notes.
curiousily/Machine-Learning-from-Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
shubhamanand43/Applied_AI_Course_Notes
Applied Artificial intelligence Course from Online course Notes
anujvyas/Diabetes-Prediction-Deployment
xuyxu/Soft-Decision-Tree
PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.
ShubhankarRawat/Heart-Disease-Prediction
Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease
krishnaik06/Fake-News-Classifier
vennela28/AppliedAI
Artificial Intelligence
thejat/dl-notebooks
dataenthusiast092/Applied-AI-Assignments-Case-Studies
Machine Learning Course
thejat/ml-notebooks