1263 Open source projects that are alternatives of or similar to Mnist Classification

Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别

Jun 2020 scikit-learn sprint

The implementation of Relativistic average GAN with Keras

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Text classification models. Used a submodule for other projects.

Stock Price Prediction using Machine Learning Techniques

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

The Operator Splitting QP Solver

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Adventures using keras on Google's Cloud ML Engine

A collection of Machine Learning algorithms written from sctrach.

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Implementation of papers for text classification task on DBpedia

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

copper price(time series) prediction using bpnn and lstm

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

Implementation of Accurate Online Support Vector Regression in Python.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

A scikit-learn based module for multi-label et. al. classification

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Simple implementation of sar target recognition using machine learning methods

My blogs and code for machine learning. http://cnblogs.com/pinard

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

(Deprecated) Scikit-learn integration package for Apache Spark

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Real-time ADLs and Fall Detection implement TensorFlow

My Attempt(s) In The World Of ML/DL....

A collection of notebooks of my Machine Learning class written in python 3

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

基于深度学习识别12306验证码

COVID-19 Detection Using Chest X-Ray

Learning to create Machine Learning Algorithms

A Benchmark of Text Classification in PyTorch

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

🤖⚡️ scikit-learn tips

Music recommender using deep learning with Keras and TensorFlow

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Official Implementation of 'Fast AutoAugment' in PyTorch.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Open Machine Learning Course

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

speech-to-text in pytorch

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Try out deep learning models online on Google Colab

Disease Prediction based on Symptoms.

Implementation of a neural network from scratch in python.