5921 Open source projects that are alternatives of or similar to Covid19 Japan Reff

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

Optimization Examples with SigOpt

Representing research papers as vectors / latent representations.

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

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

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

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

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

A seq2seq model that can correct spelling mistakes.

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

FaceNet for face recognition using pytorch

Run any standard Python code quality tool on a Jupyter Notebook

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

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

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

LargitData Course Material

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

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)

Contains Jupyter Notebooks of stuff I am working on.

just some code snippet

Official Python SDK for Hyperdash

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

Quantum Challenge problem sets

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

A Repository of Notebooks for the Python Lecture Site

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Visualizations based on best open science practices.

Introduction to ML packages for the 6.86x course

Materials for a short course on convex optimization.

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

Code for a workshop on statistical interference using computational methods in Python.

PyData Cookbook Project

Project containig related material for my TensorFlow articles

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

Realistic Handwriting with Tensorflow

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

Reference deployment of JupyterHub and nbgrader on a single server

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

python tutorial

Deep learning for MIR

[ko] 패스트캠퍼스 강의 자료

Fast and memory-efficient clustering

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

Code release for "learning to find good correspondences" CVPR 2018

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

线性代数笔记

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

Code snippets from Kite blog posts

爬虫+数据分析实战项目