Discover ashishpatel26/regressionmetrics Open Source project

Stars
12
Rank 1,597,372 (Top 32 %)
Language
Python
License
MIT License
Created about 3 years ago
Updated almost 2 years ago

ashishpatel26

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

12,358

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

3,304

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

Jupyter Notebook

1,687

Treasure-of-Transformers

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Jupyter Notebook

898

Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Jupyter Notebook

418

ResourceBank_CV_NLP_MLOPS_2022

This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Jupyter Notebook

413

365-Days-Computer-Vision-Learning-Linkedin-Post

365 Days Computer Vision Learning Linkedin Post

387

Real-time-ML-Project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

377

Tensorflow-in-practise-Specialization

Four Courses Specialization Tensorflow in practise Specialization

Jupyter Notebook

254

Vision-Transformer-Keras-Tensorflow-Pytorch-Examples

Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer

Jupyter Notebook

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

Jupyter Notebook

Last-Minute-Notes-of-Machine-learning-and-Deep-learning

Last Minute Note of Machine learning and Deep learning by Jason Brownlee

Best-Audio-Classification-Resources-with-Deep-learning

List of articles related to deep learning applied to music

TeX

satellite-Image-Semantic-Segmentation-Unet-Tensorflow-keras

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Jupyter Notebook

TensorFlow-Advanced-Techniques-Specialization

Tensorflow Advanced Technique Specialization

Jupyter Notebook

datascienv

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Python

14-days-Beginner-Practical-Guide-of-Machine-Learning

14 days Beginner Practical Guide of Machine Learning

Computer-Vision-Industry-Use-Cases

Computer Vision Industry Use Cases

Jupyter Notebook

Market-Basket-Analysis

Association rule mining is a technique to identify underlying relations between different items.

Jupyter Notebook

tcn-keras-Examples

This repository contains example of keras-tcn on easy way.

Jupyter Notebook

Coursera-Guided-Projects-2021

Coursera Guided Projects 2021

Jupyter Notebook

Yolov5-King-of-object-Detection

Yolov5 : You Look Only Once v5 Learning Resources and Collection

Amazing-Collection-Vehicle-Routing-Problem

Amazing Collection Vehicle Routing Problem

ML-Notes-in-Markdown

Machine learning notes that make your reading easy

Jupyter Notebook

Data-Science-Tutorial-By-Lambda-School

Jupyter Notebook

Introduction-to-Time-Series-forecasting

Time Series Analysis of Internation Air Passengers

Jupyter Notebook

ashishpatel26

Titanic-Machine-Learning-from-Disaster

Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics

Jupyter Notebook

Awesome-Machine-learning-Deep-learning-Deployment

Awesome Machine learning Deep learning Deployment

Best-Data-Science-Learning-Resources

My Study Collection data science courses, Article etc.

Facial-Expression-Recognization-using-JAFFE

Facial Expression Recognization using JAFFE

Jupyter Notebook

Awesome-MLOps-Course-Outline

Awesome MLOps Course Outline

Meta-Learning-

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

Browser-based-Models-with-TensorFlowjs

You may think that machine learning models can only be trained with supercomputers and big data. This first course shows you how you can train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. deeplearning.ai certificate : https://www.coursera.org/account/accomplishments/records/BURZEBYF8K3A

Jupyter Notebook

Awesome-Pytorch-Tutorials

Awesome Pytorch Tutorials

Jupyter Notebook

Data-Science-Machine-Learning-Cheat-Sheet

Data Science Cheat Sheet is help to remind code with in minute and also useful to recall the code.Collecting at one place so everyone can access easily and learn.In this we have collected all cheat sheet from the web which is contain basic learning for python and R with Machine Learning and Data Science.

Skin-Lesions-Detection-Deep-learning

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.

Jupyter Notebook

Most-used-ML-Packages

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

Jupyter Notebook

Ganpat-University-Data-Science

This is repository of Crash Course of data science at Ganpat University

Jupyter Notebook

NYSE-STOCK_MARKET-ANALYSIS-USING-LSTM

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

Jupyter Notebook

Kubeflow-installation-on-windows-10

Kubeflow installation on windows 10/11

Nice-object-detection-Collection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Computer-Vision-Papers-of-the-week

Computer Vision Papers of the week

Audio-Classification-Resources

Best Collection of Articles and code for Audio Classification

PSO-TF2

PSO On neural Network and LSTM

Jupyter Notebook

Tensorflow_object_detection_api_install_in_single_line

Tensorflow object detection api in single line

Jupyter Notebook

Advanced-Machine-Learning-and-Signal-Processing-IBM

Advanced Machine Learning and Signal Processing IBM

Jupyter Notebook

MLflow_End_to_End_Example

MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.

Jupyter Notebook

Machine-Learning-140-Formula

Formula of Machine Learning

tpu_tf2

TPU use in single line in colab using tf2 package.

Jupyter Notebook

PyTorch_Lightning_Tutorials

Build and train Pytorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

Jupyter Notebook

Facebook-AI-DEtection-TRansformer-DETR-Object-Detection

End-to-End Object Detection with Transformers

Jupyter Notebook

Audio-Masking-Methods

Audio Masking Methods

Python

LeetCode_Solution

LeetCode Solution

Jupyter Notebook

The-Industrialization-of-NLP-to-Large-Language-Model-Engineering

From Research to Production: The Industrialization of NLP to Large Language Model Engineering

Rapidsai_Machine_learning_on_GPU

Rapidsai_Machine_learnring_on_GPU

Jupyter Notebook

Docker-For-Python-Machine-learning

Docker For Python Machine learning

tensorflow-installation-on-windows10-CUDA-and-cudnn

TensorFlow installation on windows10 CUDA and cudnn

Python

Applied-AI-with-Deep-learning-By-IBM-Coursera

Jupyter Notebook

pyMetaheuristic

A python library for the following Metaheuristics: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Crow Search Algorithm, Cuckoo Search, Differential Evolution

Python

MLFlow-End-to-End-Workshop-at-Chandigarh-University

MLFlow End to End Workshop at Chandigarh University

HTML

Cuda-installation-on-WSL2-Ubuntu-20.04-and-Windows11

Cuda installation on WSL2 Ubuntu 20.04 and Windows11

SRCNN_SRGAN_ESRGAN_ON_BRAIN_MRI

Jupyter Notebook

G613-Double-Typing-issue-resolved

AutoHotkey

Easy-ML-and-DL

Easy ML and DL all repository of learning at one place

Jupyter Notebook

sklearn-ranking

Sklearn-ranking is ranking algorithm used for recommendation system algorithm. RANKSVM, RANKBOOST, RANKNET is included in this package

Python

100-Days-of-Algorithms

100 days of algorithms

Jupyter Notebook

SRGAN_Keras_Tensorflow2

Easy way to run SRGAN Keras Tensorflow

Jupyter Notebook

OpenCV2_Learning

OpenCV2 Learning for computer vision

Jupyter Notebook

Audio-Feature-Extraction-Frameworks

This is collection of Feature Extraction for Audio. Please Create the pull request if you find more framework like this please add.

Kaggle-dataset-download-colab

How to download kaggle dataset for colab

Jupyter Notebook

Ganpat-STTP-on-Data-Analytics-with-Python

Ganpat STTP on Data Analytics with Python

Jupyter Notebook

IBM-Quantum-Machine-Learning-2021

Lab work of IBM Quantum Machine Learning 2021

Jupyter Notebook

DataAnalysisworkshop_Lady-Shri-Ram-College-For-Women-Department-of-Statistics

LADY SHRI RAM COLLEGE FOR WOMEN DEPARTMENT OF STATISTICS PRESENTED TWO DAY PYTHON FOR DATA ANALYSIS WORKSHOP Date 22-23 January, 2022

Jupyter Notebook

Image-Search-Engine

Image Search Engine with HuggingFace Sentence Transformer

Jupyter Notebook

Tensorflow-Keras-Custom-Data-Generator

Tensorflow2 Keras Custom Data Generator

Jupyter Notebook

Best-Pytorch-Beginner-Guide

Best Beginner tutorial for All who want to be a master of pytorch.

Jupyter Notebook

GenerativeAI_with_PALM

Jupyter Notebook

IBM-Quantum-Challenge-Africa-2021

Jupyter Notebook

Streamlit_ML_DL

Jupyter Notebook

Semantic-Segmentation-Keras-Tensorflow-Example

Semantic Segmentation Example

Jupyter Notebook

Python-guide-for-Easy-to-complex-problem

Python Guide for Easy to Complex problem for Data Scientist

Jupyter Notebook

ashishpatelcv

My CV details

Ml-Lessons

Deep Learning for medical imaging

Jupyter Notebook

Pytorch-Learning

This Pytorch Learning Series Contains Basic to Advance tutorials with Simple Explaination

Jupyter Notebook

Chainlit_Tutorials

Python

Data-Cleaning-with-python

Data Cleaning is major part of Data Science Cycle. It will take 80% time.

Jupyter Notebook

Sampling-Method-with-Code

Sampling Method with Code

Jupyter Notebook

Python-for-Data-Science-101

This is step by step guide to make u master in DataScience Code

Jupyter Notebook

Useful-deep-Learning-Resources

DataStructure_For_DataScientist

This Course Notes Practise Notebook Course Link : https://www.udemy.com/course/python-data-structures-a-to-z/

Jupyter Notebook

Pytorch-Foundation-Project-with-real-world-dataset

Pytorch Foundation Project with real world dataset

Jupyter Notebook

Baby-Steps-of-Keras-Deep-Learning

Jupyter Notebook

Self-Supervised-Learning

Self-Supervised-Learning with Lightly for Learning Purpose

Jupyter Notebook

Shapelet-time-Series-Classification

Shapelet time Series Classification with tslearn

Jupyter Notebook

GRADCAM-Tensorflow2-Visual-Explainable-AI

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Python

Anomaly-or-Outlier-Detection

Anomaly or Outlier Detection Research Paper and Code

Predictive-Maintenance-for-Air-Quality

Air Quality Index Predict the weather is good or bad

Jupyter Notebook

Covid19-tweet-sentimental-Analysis

Covid19 tweet sentimental Analysis

Jupyter Notebook

100

NLP_in_TensorFlow

Jupyter Notebook

ashishpatel26/regressionmetrics

ashishpatel26

Reviews

Repository Details

More Repositories