A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Implement popular models by different DL framework. Such as tensorflow and caffe

Loan Application Data Analysis

Model verification, validation, and error analysis

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Catalyst.Classification

Vectorized Machine Learning in Python 🐍 From Scratch

Online machine learning methods

Coding up a Neural Network Classifier from Scratch

Rank 1 / 216

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Natural World Tasks

这是一个基于tensorflow和python的猫狗分类算法

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

This repo introduces how to integrate Tensorflow framework into ROS with object detection API.