7077 Open source projects that are alternatives of or similar to 100 Days Of Ml Code

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

Implementing Clustering Algorithms from scratch in MATLAB and Python

Unofficial TensorFlow implementation of "AlexNet" architecture.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

A python library to work with the CASIA Chinese handwriting database.

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

🚂✋📖 - Learn the choo framework through a set of exercises

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

links to conference publications in graph-based deep learning

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

DDC-Outlier: Preventing medication errors using unsupervised learning

How to create a RESTful CRUD API using Nodejs?

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

This repository contains content which will be helpful in your journey as a front-end Web Developer

ML algorithm for real-time classification

TorchXRayVision: A library of chest X-ray datasets and models.

pyMCR: Multivariate Curve Resolution for Python

A soil humidity level sensor based on ATTINY44. Uses capacitive sensing.

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Tutorial Materials for ICCV19

tensorflow implementation of Grad-CAM (CNN visualization)

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

中文编程的历史、现状和展望。issue 中进行相关问题的讨论.

Official adversarial mixup resynthesis repository

摩拜单车爬虫

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

📊📉Embed Plotly Dash into your Flask applications.

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

Released assignments for the Stanford's CS131 course on Computer Vision.

[ICCV2021] Learning to Track Objects from Unlabeled Videos

Codes for weekly challenges on Deep Learning by Siraj

Awesome Graph Self-Supervised Learning

A Simplified Chinese sans-serif font derived from IPAex Gothic. 一款衍生于「IPAexゴシック」的简体中文黑体字型。

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

TensorFlow实战，使用LSTM预测彩票

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

Linguistica 5: Unsupervised Learning of Linguistic Structure

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

自用 Beancount 中文用户手册，使用 DeepL 等翻译工具翻译后稍加修饰调整而成。

C# kernel for Jupyter

PHP Chinese Conversion （中文繁簡轉換）

Machine Learning Lectures at the European Space Agency (ESA) in 2018

A simple tool for generating useful evaluation metrics and plots for machine learning models

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

Deep Learning with TensorFlow, Keras, and PyTorch

Pretrained bag-of-local-features neural networks

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

Patent analysis using the Google Patents Public Datasets on BigQuery

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow