6792 Open source projects that are alternatives of or similar to Enet Real Time Semantic Segmentation

AI & Deep Learning Enthusiasts Meetup Project & Study Sessions

CNN image classifier implemented in Keras Notebook 🖼️.

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

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

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

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

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

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

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

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

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

Text Classification through CNN, RNN & HAN using Keras

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.

Natural Language Processing Tutorial for Deep Learning Researchers

Some notebooks

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

Best Practices on Recommendation Systems

All my experiments with AI and ML

60_Days_RL_Challenge中文版

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

Collection of Artificial Intelligence projects.

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

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.

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

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

真AI人工智能

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

A deep learning based gaze estimation framework implemented with PyTorch

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

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

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

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Some of the ML and DL related reading materials, research papers that I've read

Notes and experiments to understand deep learning concepts

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

People removal in images using Pix2Pix and YOLO.

研究资源列表 A curated list of research resources

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

Research on Texas Hold'em AI

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

Create HTML profiling reports from pandas DataFrame objects

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

Time Series Forecasting Best Practices & Examples

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

Continual Learning tutorials and demo running on Google Colaboratory.

A stable algorithm for GAN training

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

This is a tutorial for PyTorch Geometric on the YooChoose dataset

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.

Code for my medium article

Deep learning codes and projects using Python

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

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

Data augmentation for NLP

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

Notes and Summaries on ML-related Research Papers (with optional implementations)

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks