adijindal30 Goto Github PK

big-data-analysis-dask-df

The dataset is tabular and the features involved should be self-explanatory. We would like for you to come up with a specific problem yourself and solve it properly. This is an “open challenge,” mainly focusing on natural language processing. The problem could be either about predictive modeling or providing analytical insights for some business use cases. Note the problem should be treated as large-scale, as the dataset is large (e.g., >100GB) and will not fit into the RAM of your machine. Python is strongly recommended in terms of the coding language.

car-engine-rating-prediction-ml-model

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

dlib

A toolkit for making real world machine learning and data analysis applications in C++

mnist

Python utilities to download and parse the MNIST dataset

mnist-digit-recognition-using-dnn

mobilenetv2-dynamicfpn

MobileNetV2 architecture combined with a dynamically generated Feature Pyramid Network

pan.pytorch

A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

pytorch-mobilenet-v3

MobileNetV3 in pytorch and ImageNet pretrained models

pytorchtutorial

PyTorch Tutorials from my YouTube channel

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

stock-market-predictions-using-global-news-sentiment

table-fact-checking

Data and Code for ICLR2020 Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"

vision

Datasets, Transforms and Models specific to Computer Vision