5921 Open source projects that are alternatives of or similar to Handson Ml2

Use the Mask RCNN for the human pose estimation

LargitData Course Material

Convert human motion from video to .bvh

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

Run any standard Python code quality tool on a Jupyter Notebook

Learn Python, Easy to learn, Awesome

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Python Bootcamp docs and lectures (UC Berkeley)

just some code snippet

General Assembly's Data Science course in Washington, DC

Code snippets from Kite blog posts

Deep learning system course

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

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

Visual Search using Apache MXNet and gluon

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Official Repo for Google Cloud AI Platform

Optimization Examples with SigOpt

Graph Convolution Network for NLP

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

A seq2seq model that can correct spelling mistakes.

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Detecting and counting small objects - Analysis, review and application to counting

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

爬虫+数据分析实战项目

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Representing research papers as vectors / latent representations.

Oriented Response Networks, in CVPR 2017

FaceNet for face recognition using pytorch

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

A simpler version of the self-attention layer from SAGAN, and some image classification results.

Data Engineering on Google Cloud Platform

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

メディカルAIコース オンライン講義資料

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

An introduction to data science in Python, for people with no programming experience.

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

💎 数学公式识别

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Source code and data analyses for the Sci-Hub Coverage Study

Contains Jupyter Notebooks of stuff I am working on.

VQVAEs, GumbelSoftmaxes and friends

Hierarchical Attention Networks for Chinese Sentiment Classification

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Udacity Project - Vehicle Detection

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form