7123 Open source projects that are alternatives of or similar to Pixel_level_land_classification

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

Streaming over lightweight data transformations

Spring Boot Starters for Azure services

High-performance Vision library in Python. Scale your research, not boilerplate.

Plain python implementations of basic machine learning algorithms

Deep Learning Specialization by Andrew Ng on Coursera.

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

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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

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

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Accelerated deep learning R&D

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Grokking Deep Reinforcement Learning

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

A simple image dataset EDA tool (CLI / Code)

Semantic image segmentation in Tensorflow

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Codes for weekly challenges on Deep Learning by Siraj

Machine Learning Practical course repository

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

RadIO is a library for data science research of computed tomography imaging

Implementation of simple autoencoders networks with Keras

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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

Deep Learning for Seismic Imaging and Interpretation

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Pytorch version of Realtime Multi-Person Pose Estimation project

Traffic Graph Convolutional Recurrent Neural Network

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

A TensorFlow implementation of Group Normalization on the task of image classification

Bayesian Deep Learning: A Survey

SuperComputing 2017 Deep Learning Tutorial

Russian language models for spaCy

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Deep Learning Zero to All - Tensorflow

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Jupyter notebooks associated with the Algorithms for Optimization textbook

A collection of Jupyter Notebooks for learning Python for Data Science.

Notebooks for Course

A framework for blind denoising with self-supervision.

emoji2vec: Learning Emoji Representations from their Description

MTCNN with Motion Detection, on Raspberry Pi with Love

Epidemic Modeling for Everyone

Ray tutorials from Anyscale

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

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

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

Machine Learning for finance and investment introduction

Pytorch code for ECCV 2018 paper

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Jupyter notebooks and other materials developed for the Columbia course APMA 4300