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Projects in Awesome Lists by ashishpatel26

A curated list of projects in awesome lists by ashishpatel26 .

https://github.com/ashishpatel26/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.

data-analysis data-mining data-science data-scientists data-visualization deep-learning feature-engineering feature-extraction feature-scaling feature-selection features machine-learning scikit-learn

Last synced: 16 May 2025

https://github.com/ashishpatel26/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.

data-analysis data-mining data-science data-scientists data-visualization deep-learning feature-engineering feature-extraction feature-scaling feature-selection features machine-learning scikit-learn

Last synced: 10 Apr 2025

https://github.com/ashishpatel26/real-time-ml-project

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

application deep-learning deeplearning dl keras machine-learning machine-learning-algorithms machinelearning ml ml-application project pytorch real-time real-time-data rl tensorflow theano

Last synced: 13 Apr 2025

https://github.com/ashishpatel26/Real-time-ML-Project

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

application deep-learning deeplearning dl keras machine-learning machine-learning-algorithms machinelearning ml ml-application project pytorch real-time real-time-data rl tensorflow theano

Last synced: 29 Mar 2025

https://github.com/ashishpatel26/resourcebank_cv_nlp_mlops_2022

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

computer-vision data-science deep-learning mlops natural-language-processing

Last synced: 05 Apr 2025

https://github.com/ashishpatel26/tensorflow-in-practise-specialization

Four Courses Specialization Tensorflow in practise Specialization

Last synced: 06 Apr 2025

https://github.com/ashishpatel26/vision-transformer-keras-tensorflow-pytorch-examples

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

example keras pytorch tensorflow tensorflow2 vision-transformer

Last synced: 14 May 2025

https://github.com/ashishpatel26/llm-engineering-crash-course

LLM Engineering CrashCourse

Last synced: 20 Jun 2025

https://github.com/ashishpatel26/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

keras-segmentation keras-semantic-segmentation semantic-segmentation tensorflow-keras tensorflow2-image-segmentation tensorflow2-unet unet unet-image-segmentation unet-keras unet-segmentation unet-tensorflow

Last synced: 14 May 2025

https://github.com/ashishpatel26/last-minute-notes-of-machine-learning-and-deep-learning

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

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/ashishpatel26

ashishpatel26

Last synced: 13 Mar 2025

https://github.com/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

titanic titanic-data titanic-data-analytics titanic-dataset titanic-disaster titanic-kaggle titanic-passenger-data titanic-problem titanic-survival titanic-survival-exploration titanic-survival-prediction titanickaggle

Last synced: 14 May 2025

https://github.com/ashishpatel26/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.

skin skin-cancer skin-cancer-detection skin-detection skin-disease skin-disease-classifiction skin-lesion-classification skin-lesion-segmentation skin-segmentation

Last synced: 14 May 2025

https://github.com/ashishpatel26/market-basket-analysis

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

apriori apriori-algorithm association-analysis association-rule-learning association-rule-mining association-rules

Last synced: 14 May 2025

https://github.com/ashishpatel26/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

catboost data-science data-science-env datascienv imbalanced-data lightgbm matplotlib numpy pandas pycaret scikit-learn seaborn tensorflow2 xgboost

Last synced: 09 Feb 2025

https://github.com/ashishpatel26/cvpr2024

CVPR 2024 Research Paper with Code

computervision cvpr cvpr2024

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/yolov5-king-of-object-detection

Yolov5 : You Look Only Once v5 Learning Resources and Collection

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/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

coursera coursera-specialization datascience deeplearning machinelearning tenso tensorflow tensorflowjs tfjs

Last synced: 14 May 2025

https://github.com/ashishpatel26/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

ensemble-learning ensemble-machine-learning nlp-machine-learning pandas pandas-tutorial pytorch pytorch-tutorial tensorflow tensorflow-tutorials word-embeddings

Last synced: 14 May 2025

https://github.com/ashishpatel26/facial-expression-recognization-using-jaffe

Facial Expression Recognization using JAFFE

Last synced: 14 May 2025

https://github.com/ashishpatel26/meta-learning-

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

andrew-ng appliedaicourse chainer cnn coursera deeplearning dl ensemble ensemble-learning keras machine-learning metalearning ml pytorch tensorflow

Last synced: 14 May 2025

https://github.com/ashishpatel26/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.

keras newyork-stock nyse stock-forcast stock-market-data stock-market-prediction stock-price-prediction tensorflow-gpu using-lstm

Last synced: 14 May 2025

https://github.com/ashishpatel26/datastructure-for-data-science

Datastructure for data science

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/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

Last synced: 14 May 2025

https://github.com/ashishpatel26/500-AI-Agents-Projects

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

ai-agents genai

Last synced: 15 Feb 2025

https://github.com/ashishpatel26/pso-tf2

PSO On neural Network and LSTM

Last synced: 14 May 2025

https://github.com/ashishpatel26/nice-object-detection-collection

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

cascade-r-cnn deep-learning dssd essd fast-r-cnn faster-r-cnn fssd light-head-r-cnn mask-r-cnn object object-detect object-detecting object-detection-tutorial rcnn spp-net ssd yolo yolo2 yolov3 yolt

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/sklearn-ranking

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

ranking ranking-algorithm ranking-methods scikit-learn sklearn sklearn-ranking

Last synced: 13 Apr 2025

https://github.com/ashishpatel26/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.

mlflow mlflow-example mlflow-tracking scikit-learn xgboost

Last synced: 08 May 2025

https://github.com/ashishpatel26/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.

mlflow mlflow-example mlflow-tracking scikit-learn xgboost

Last synced: 14 May 2025

https://github.com/ashishpatel26/tensorflow_object_detection_api_install_in_single_line

Tensorflow object detection api in single line

Last synced: 14 May 2025

https://github.com/ashishpatel26/regressionmetrics

Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn

keras metrics regression-metrics scikit-learn tensorflow2

Last synced: 14 May 2025

https://github.com/ashishpatel26/image-search-engine

Image Search Engine with HuggingFace Sentence Transformer

huggingface-transformers image imagesearch search-engine sentence-transformers

Last synced: 14 May 2025

https://github.com/ashishpatel26/ashishpatelcv

My CV details

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/tpu_tf2

TPU use in single line in colab using tf2 package.

colab-notebook colaboratory deep-learning tensorflow2 tpu

Last synced: 14 May 2025

https://github.com/ashishpatel26/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.

Last synced: 14 May 2025

https://github.com/ashishpatel26/ibm-quantum-challenge-spring-2023-challenge

IBM Quantum Challenge Fall 2023

Last synced: 12 Apr 2025

https://github.com/ashishpatel26/knowledgegraphllm

KnowledgeGraphLLM

Last synced: 12 Apr 2025

https://github.com/ashishpatel26/readmecreator-with-llm

Create informative READMEs effortlessly using AI-driven templates with the README Creator powered by Language Model (LLM). Simplify documentation and enhance project communication.

chatgpt generator huggingface langchain language-model large-language-models llm llms openai pytorch readme readme-generator tensorflow

Last synced: 12 Apr 2025

https://github.com/ashishpatel26/the-industrialization-of-nlp-to-large-language-model-engineering

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

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/generativeai_with_palm

GenerativeAI_with_PALM

Last synced: 14 May 2025

https://github.com/ashishpatel26/ner-with-spanmarker

NER with SpanMarker + Transformers + Spacy

Last synced: 14 May 2025

https://github.com/ashishpatel26/deepant-a-deep-learning-approach-for-unsupervised-anomaly-detection-in-time-series

Code for DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

Last synced: 14 May 2025

https://github.com/ashishpatel26/opencv2_learning

OpenCV2 Learning for computer vision

Last synced: 14 May 2025

https://github.com/ashishpatel26/srgan_keras_tensorflow2

Easy way to run SRGAN Keras Tensorflow

Last synced: 14 May 2025

https://github.com/ashishpatel26/mlflow_colab_dagshub

access mlflow in google colab notebook

Last synced: 14 Jun 2025

https://github.com/ashishpatel26/python-guide-for-easy-to-complex-problem

Python Guide for Easy to Complex problem for Data Scientist

Last synced: 14 May 2025

https://github.com/ashishpatel26/chainlit_tutorials

Chainlit_Tutorials

Last synced: 28 Jun 2025

https://github.com/ashishpatel26/langchain_tutorial

⚡ Building applications with LLMs through composability Lang ChainTutorials⚡

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/pytorch-learning

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

advance-tutorials pytorch pytorch-learning pytorch-tutorial

Last synced: 14 May 2025

https://github.com/ashishpatel26/pytorch-foundation-project-with-real-world-dataset

Pytorch Foundation Project with real world dataset

Last synced: 14 May 2025

https://github.com/ashishpatel26/sampling-method-with-code

Sampling Method with Code

Last synced: 14 May 2025

https://github.com/ashishpatel26/tensorflow-keras-custom-data-generator

Tensorflow2 Keras Custom Data Generator

Last synced: 14 May 2025

https://github.com/ashishpatel26/python-for-data-science-101

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

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/chromadb_save_and_load_multiple_files

Chromadb Save and load multiple files

Last synced: 14 May 2025

https://github.com/ashishpatel26/huggingface_model_deployment_on_sagemaker

HuggingFace_Model_Deployment_On_SageMaker

Last synced: 12 Apr 2025

https://github.com/ashishpatel26/parul-university-sttp-on-data-analysis-with-python

Data Analysis with Python STTP at Parul University

data-science dataanalysis python

Last synced: 14 May 2025

https://github.com/ashishpatel26/row2plot

row2plot is python package that help to convert your dataset row into histogram and kdeplot so you can convert your row data into image format.

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/self-supervised-learning

Self-Supervised-Learning with Lightly for Learning Purpose

Last synced: 14 May 2025

https://github.com/ashishpatel26/plotly-example-for-visualization

All types of basic graph is explained with Example

plotly plotly-dash plotly-example plotly-python visualization

Last synced: 14 May 2025

https://github.com/ashishpatel26/superresolution-medical-imaging-using-srgan

About This repository contains code for the super resolution of medical images using SRGAN and other comparative models, such as SRCNN, SRResNet, and Sparse Representation.

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/tensorflow-2-keras-tutorial

This is my tensorflow 2 keras learning repository which include TensorFlow 2.0 Overview, Basic Usage, Linear Regression, MNIST, FashionMNIST, CIFAR10, Fully Connected Layer, VGG16, Inception Network, ResNet18, Naive RNN, LSTM, ColorBot, Auto-Encoders, Variational Auto-Encoders, DCGAN, CycleGAN, WGAN, Pixel2Pixel, Faster RCNN, A2C, GPT, BERT, GCN

Last synced: 13 Mar 2025

https://github.com/ashishpatel26/timesmash

Time-series Classification & Clustering For A Class of Stochastic Processes

Last synced: 13 Mar 2025