999 Open source projects that are alternatives of or similar to Handwritten Digit Recognition Using Deep Learning

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

R package "missRanger" for fast imputation of missing values by random forests.

vehicle image retrieval using k CNNs ensemble method

Data-Driven Neuron Allocation for Scale Aggregation Networks

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Multi-class classification with focal loss for imbalanced datasets

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

A Hidden Markov Model implemented in Javascript

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

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Image classification of wildflowers using deep residual learning and convolutional neural nets

FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型（QQ群：167122861）。技术支持：http://tensorflow123.com

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Artificial neural network classes and tools in Python and TensorFlow.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

Focal Loss of multi-classification in tensorflow

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Extremely simple and fast extreme multi-class and multi-label classifiers.

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Utility package for working with classification targets and label-encodings

Fined grained classification On Car dataset

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

Super Resolution of picture images using deep learning

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Kaggle 2018 @ Human Protein Atlas Image Classification

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

A Python toolbox for computer vision research and project

3-day dive into deep learning at csc

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

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

R wrapper for fastText

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Data augmentation for NLP, presented at EMNLP 2019

Deep Learning using Rectified Linear Units (ReLU)

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

Second Project of the Udacity Self-Driving Car Nanodegree Program

Gesture Recognition using TensorFlow

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Machine Learning in R

A python implementation of Patchy-San Convolutional Network for Graph

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Drug effect prediction using neural network

Speech Recognition model based off of FAIR research paper built using Pytorch.

Using Machine Learning to predict the type of exercise from movement data

Repository for most of the code from my YouTube channel

YOLO: Real-Time Object Detection using Tensorflow and easy to use

High-level batteries-included neural network training library for Pytorch

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

BCDU-Net : Medical Image Segmentation

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906