6445 Open source projects that are alternatives of or similar to Pytorch How And When To Use Module Sequential Modulelist And Moduledict

Notes and experiments to understand deep learning concepts

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Notebook for my medium article about how to use Dataset API in TensorFlow

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Some notebooks

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Data augmentation for NLP

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Deep learning codes and projects using Python

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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.

Best Practices, code samples, and documentation for Computer Vision.

60_Days_RL_Challenge中文版

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

Research on Texas Hold'em AI

All my experiments with AI and ML

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

My personal notes, presentations, and notebooks on everything Deep Learning.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Support content for my blog

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Daily Dose of Neural Network that Everyone Needs

Create HTML profiling reports from pandas DataFrame objects

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

真AI人工智能

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

A deep learning based gaze estimation framework implemented with PyTorch

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

People removal in images using Pix2Pix and YOLO.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

CNN image classifier implemented in Keras Notebook 🖼️.

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Time Series Forecasting Best Practices & Examples

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Collection of Artificial Intelligence projects.

Best Practices on Recommendation Systems

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Log Anomaly Detection - Machine learning to detect abnormal events logs

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Continual Learning tutorials and demo running on Google Colaboratory.

Medical Q&A with Deep Language Models

A collection of notebooks for Natural Language Processing from NLP Town

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".