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4,086 search results found

Streamlit_freecodecamp ⭐ 504

Build 12 Data Apps in Python with Streamlit

Monk_v1 ⭐ 503

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Food Recipe Cnn ⭐ 502

food image to recipe with deep convolutional neural networks.

Efficient Dl Systems ⭐ 502

Efficient Deep Learning Systems course materials (HSE, YSDA)

Mml Book ⭐ 502

Code / solutions for Mathematics for Machine Learning (MML Book)

Ml_privacy_meter ⭐ 501

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Time Series Forecasting With Python ⭐ 499

A use-case focused tutorial for time series forecasting with python

Machine_learning_and_deep_learning ⭐ 492

Stats Maths With Python ⭐ 492

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Awesome Python Projects ⭐ 489

📱 ✅ Some awesome projects in python! 📱 ✅

Get Started With Jax ⭐ 487

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

Self Driving Toy Car ⭐ 487

A self driving toy car using end-to-end learning

Amazing Feature Engineering ⭐ 485

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Convokit ⭐ 483

ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

Building A Simple Chatbot In Python Using Nltk ⭐ 482

Building a Simple Chatbot from Scratch in Python (using NLTK)

Gpubootcamp ⭐ 479

This repository consists for gpu bootcamp material for HPC and AI

Open_source_demos ⭐ 478

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

Code_search ⭐ 474

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Hands On Data Analysis With Pandas 2nd Edition ⭐ 473

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

Codespaces Jupyter ⭐ 464

Explore machine learning and data science with Codespaces

Gluestick ⭐ 461

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

Quantus ⭐ 460

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Coursera Ml Using Matlab Python ⭐ 460

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

Python机器学习算法技术博客，有原创干货！有code实践！【更多内容敬请关注公众号 "算法进阶"】

Amazon Forecast Samples ⭐ 456

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

Ajax Movie Recommendation System With Sentiment Analysis ⭐ 449

A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user

Prodigy Recipes ⭐ 449

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

Trending Deep Learning ⭐ 449

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Bigquery Oreilly Book ⭐ 447

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

Sklearn Evaluation ⭐ 447

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Automl Implementation For Static And Dynamic Data Analytics ⭐ 443

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

The Elements Of Statistical Learning Python Notebooks ⭐ 441

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Sklearn Bayes ⭐ 439

Python package for Bayesian Machine Learning with scikit-learn API

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Agile_data_code_2 ⭐ 435

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

Powerful Benchmarker ⭐ 426

A library for ML benchmarking. It's powerful.

Tensorflow 101 ⭐ 423

《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件

Grokking Deep Reinforcement Learning

Machine_learning_tutorials ⭐ 421

Code, exercises and tutorials of my personal blog ! 📝

H2o4gpu ⭐ 421

H2Oai GPU Edition

Python Ai ⭐ 420

深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、Tens

Basic Mathematics For Machine Learning ⭐ 418

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Fromage ⭐ 415

🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Generative Models ⭐ 414

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Deltapy ⭐ 411

DeltaPy - Tabular Data Augmentation (by @firmai)

Taichi_3d_gaussian_splatting ⭐ 411

An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

Bnlearn ⭐ 406

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

Machinelearning ⭐ 406

Machine Learning

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

Cursos Python ⭐ 404

Cursos completos de IA dictados por Humai

Sklearn Classification ⭐ 402

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Machine Learning ⭐ 402

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Efficient Learning of Augmentation Policy Schedules

Ydata Quality ⭐ 398

Data Quality assessment with one line of code

Workshopscipy ⭐ 396

A workshop for scientific computing in Python. ( December 2017 )

Data Science Learning ⭐ 395

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Data Science And Machine Learning From Scratch ⭐ 395

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

Fsdl Text Recognizer 2022 Labs ⭐ 393

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-t

Hands On Data Analysis With Pandas ⭐ 390

Materials for following along with Hands-On Data Analysis with Pandas.

Ipyplot ⭐ 390

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

User Machine Learning Tutorial ⭐ 386

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Introduction Datascience Python Book ⭐ 385

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Stock Prediction Deep Neural Learning ⭐ 385

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Qlearning_trading ⭐ 383

Learning to trade under the reinforcement learning framework

Baby Steps Of Rl Ja ⭐ 380

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Jupyterlab_templates ⭐ 378

Support for jupyter notebook templates in jupyterlab

Supervisely Tutorials ⭐ 376

🌈 Tutorials for Supervise.ly

Apricot ⭐ 376

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/in

Python Flow Based Programming environment that provides a graphical programming environment.

Explainx ⭐ 375

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Adaptnlp ⭐ 371

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

100daysofmlcode ⭐ 369

Datascience_artificialintelligence_utils ⭐ 369

Examples of Data Science projects and Artificial Intelligence use-cases

Primehub ⭐ 367

open-source MLOps platform

Project Guidance ⭐ 367

:octocat:🌟 The Ultimate resources for beginner to advance level projects all at one place 💻 🎯🚀

Epipolarpose ⭐ 366

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Openaiworkshop ⭐ 365

workshop materials to build intelligent solutions on Open AI

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Coursera Stanford Ml Python ⭐ 365

Coursera/Stanford Machine Learning course assignments in python

Workshops ⭐ 362

Workshops organized to introduce students to security, AI, blockchain, AR/VR, hardware and software

Ml Projectkart ⭐ 362

🙌Kart of 232+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

斯坦福 cs231n 作业代码实践

Reinforcement_learning_tutorial_with_demo ⭐ 357

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Dcai Lab ⭐ 356

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2023 👩🏽‍💻

Iclr2020 Openreviewdata ⭐ 355

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

Fraud Detection Handbook ⭐ 352

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

Deep Learning Projects that Build Themselves

Pydatalab ⭐ 347

open source for wechat-official-account (ID: PyDataLab)

Alphatools ⭐ 346

Quantitative finance research tools in Python

Vertex Ai Mlops ⭐ 344

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Course Resources Ml With Experts Budgets ⭐ 344

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

Ml_sagemaker_studies ⭐ 340

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

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