6711 Open source projects that are alternatives of or similar to Traffic Sign Classifier

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Keras tutorial for beginners (using TF backend)

Visualisations for Convolutional Neural Networks in Pytorch

This toolbox is support material for the book on CNN (http://www.convolution.network).

Deep learning codes and projects using Python

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Build a CNN network to predict 3D bounding box of car from 2D image.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Repo for the Deep Reinforcement Learning Nanodegree program

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Convolutional Neural Network for Human Activity Recognition in Tensorflow

A simple probabilistic programming language.

Efficient Learning of Augmentation Policy Schedules

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

A collection of Bayesian data analysis recipes using PyMC3

Computations and statistics on manifolds with geometric structures.

Music recommender using deep learning with Keras and TensorFlow

Convolutional neural networks for artistic style transfer.

Plain python implementations of basic machine learning algorithms

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Keras- Multi Label Image Classification

Contains my explorations of TensorFlow 2.x

Vehicle detection using YOLO in Keras runs at 21FPS

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

food image to recipe with deep convolutional neural networks.

Image augmentation library in Python for machine learning.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Deep Learning Specialization by Andrew Ng on Coursera.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Deep Learning Computer Vision Algorithms for Real-World Use

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Support content for my blog

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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)

Evaluation of the CNN design choices performance on ImageNet-2012.

Next RecSys Library

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

SincNet is a neural architecture for efficiently processing raw audio samples.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

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

Neural network inference the Unix way

TensorFlow and Deep Learning Tutorials

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

Skin cancer classification using Inceptionv3

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Daily Dose of Neural Network that Everyone Needs

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.