Ashish Patel

Top repositories by stars

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code(on leaderboard)

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

  31,720
• 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.

  24,303
• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  5,265
• ashishpatel26/Andrew-NG-Notes

  This is Andrew NG Coursera Handwritten Notes.

  Jupyter Notebook3,591
• ashishpatel26/LLM-Finetuning

  LLM Finetuning with peft

  Jupyter Notebook2,817
• ashishpatel26/Treasure-of-Transformers

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

  Jupyter Notebook1,121
• ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post

  365 Days Computer Vision Learning Linkedin Post

  782
• 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.

  Jupyter Notebook771
• ashishpatel26/Real-time-ML-Project

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

  743
• 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.

  Jupyter Notebook422
• ashishpatel26/Tensorflow-in-practise-Specialization

  Four Courses Specialization Tensorflow in practise Specialization

  Jupyter Notebook270
• ashishpatel26/ashishpatel26

  ashishpatel26

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• ashishpatel26/Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

  Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

  Jupyter Notebook130
• ashishpatel26/Cuda-installation-on-WSL2-Ubuntu-20.04-and-Windows11

  Cuda installation on WSL2 Ubuntu 20.04 and Windows11

  119
• ashishpatel26/AIAgentWorkshop

  AI Agent Work shop include Agent from Corepython, using CrewAI and Using SmolAgent

  Jupyter Notebook110
• ashishpatel26/Vision-Transformer-Keras-Tensorflow-Pytorch-Examples

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

  Jupyter Notebook109
• 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

  Jupyter Notebook107
• 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 Notebook106
• ashishpatel26/LLM-Engineering-Crash-Course

  LLM Engineering CrashCourse

  Jupyter Notebook101
• ashishpatel26/Best-Audio-Classification-Resources-with-Deep-learning

  List of articles related to deep learning applied to music

  TeX98
• ashishpatel26/Last-Minute-Notes-of-Machine-learning-and-Deep-learning

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

  92
• ashishpatel26/TensorFlow-Advanced-Techniques-Specialization

  Tensorflow Advanced Technique Specialization

  Jupyter Notebook90
• 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.

  Jupyter Notebook84
• ashishpatel26/Computer-Vision-Industry-Use-Cases

  Computer Vision Industry Use Cases

  Jupyter Notebook79
• ashishpatel26/ML-Notes-in-Markdown

  Machine learning notes that make your reading easy

  Jupyter Notebook71
• ashishpatel26/Market-Basket-Analysis

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

  Jupyter Notebook71
• ashishpatel26/Coursera-Guided-Projects-2021

  Coursera Guided Projects 2021

  Jupyter Notebook58
• 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

  Python58
• ashishpatel26/tcn-keras-Examples

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

  Jupyter Notebook57
• ashishpatel26/14-days-Beginner-Practical-Guide-of-Machine-Learning

  14 days Beginner Practical Guide of Machine Learning

  55
• ashishpatel26/Data-Science-Tutorial-By-Lambda-School

  Jupyter Notebook55
• ashishpatel26/Amazing-Collection-Vehicle-Routing-Problem

  Amazing Collection Vehicle Routing Problem

  50
• ashishpatel26/CVPR2024

  CVPR 2024 Research Paper with Code

  48
• ashishpatel26/Yolov5-King-of-object-Detection

  Yolov5 : You Look Only Once v5 Learning Resources and Collection

  48
• ashishpatel26/Introduction-to-Time-Series-forecasting

  Time Series Analysis of Internation Air Passengers

  Jupyter Notebook40
• 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

  Jupyter Notebook37
• ashishpatel26/Awesome-Machine-learning-Deep-learning-Deployment

  Awesome Machine learning Deep learning Deployment

  37
• ashishpatel26/Awesome-MLOps-Course-Outline

  Awesome MLOps Course Outline

  36
• ashishpatel26/Agentic-RAG-with-MCP-Server

  Agentic RAG with MCP Server

  Python35
• ashishpatel26/Awesome-Pytorch-Tutorials

  Awesome Pytorch Tutorials

  Jupyter Notebook34
• ashishpatel26/AI-For-Beginners

  12 Weeks, 24 Lessons, AI for All!

  Jupyter Notebook30
• ashishpatel26/AI-Links

  30
• ashishpatel26/Best-Data-Science-Learning-Resources

  My Study Collection data science courses, Article etc.

  30
• ashishpatel26/Meta-Learning-

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

  29
• 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

  Jupyter Notebook29
• ashishpatel26/Facial-Expression-Recognization-using-JAFFE

  Facial Expression Recognization using JAFFE

  Jupyter Notebook28
• ashishpatel26/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.

  26
• 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.

  Jupyter Notebook25
• 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

  Python24
• ashishpatel26/DataStructure-for-Data-Science

  Datastructure for data science

  23
• ashishpatel26/Data-Science-ML-Full-Stack

  Everything you need to know for data science.

  HTML21
• ashishpatel26/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  Python21
• ashishpatel26/MLOps-Engineering-in-Action

  Reference code base for ML Engineering in Action, Manning Publications Author: Ben Wilson

  Jupyter Notebook20
• ashishpatel26/Ganpat-University-Data-Science

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

  Jupyter Notebook20
• ashishpatel26/context_engineering

  Jupyter Notebook19
• ashishpatel26/PSO-TF2

  PSO On neural Network and LSTM

  Jupyter Notebook19
• ashishpatel26/agents

  Repo for the Complete Agentic AI Engineering Course

  Jupyter Notebook18
• ashishpatel26/Computer-Vision-Papers-of-the-week

  Computer Vision Papers of the week

  18
• ashishpatel26/G613-Double-Typing-issue-resolved

  AutoHotkey18
• ashishpatel26/Nice-object-detection-Collection

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

  18
• ashishpatel26/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Jupyter Notebook17
• ashishpatel26/Kubeflow-installation-on-windows-10

  Kubeflow installation on windows 10/11

  17
• ashishpatel26/Machine-Learning-with-Real-World-Projects

  Code Repository for Machine Learning with Real World Projects, Published by Packt

  Jupyter Notebook17
• ashishpatel26/Advanced-Machine-Learning-and-Signal-Processing-IBM

  Advanced Machine Learning and Signal Processing IBM

  Jupyter Notebook17
• ashishpatel26/Langgraph-SelfPaced-Course

  Langgraph-SelfPaced-Course Step by Step

  Python15
• ashishpatel26/ashishpatelcv

  My CV details

  15
• ashishpatel26/Audio-Classification-Resources

  Best Collection of Articles and code for Audio Classification

  15
• ashishpatel26/Crewai-MCP-Course

  This course teaches beginners how to use CrewAI with FastMCP server access through step-by-step programming examples.

  Python14
• ashishpatel26/Facebook-AI-DEtection-TRansformer-DETR-Object-Detection

  End-to-End Object Detection with Transformers

  Jupyter Notebook14
• ashishpatel26/sklearn-ranking

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

  Python14
• ashishpatel26/Agent-Memory-Paper-List

  The paper list of "Memory in the Age of AI Agents: A Survey"

  13
• ashishpatel26/learn-agentic-ai

  Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.

  Jupyter Notebook13
• 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.

  Python13
• 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.

  Jupyter Notebook13
• ashishpatel26/Machine-Learning-140-Formula

  Formula of Machine Learning

  13
• ashishpatel26/ML-DL-mindmap

  A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

  13
• ashishpatel26/ai-tutor-rag-system

  This is a repository for the course "From Beginner to LLM Developer" by Towards AI.

  Jupyter Notebook12
• ashishpatel26/Image-Search-Engine

  Image Search Engine with HuggingFace Sentence Transformer

  Jupyter Notebook12
• ashishpatel26/Mathematics-for-ML

  🧮 A collection of resources to learn mathematics for machine learning

  12
• ashishpatel26/ML-Notebooks

  :fire: A series of code examples for all sorts of machine learning tasks and applications.

  12
• ashishpatel26/hackingtool

  ALL IN ONE Hacking Tool For Hackers

  Python12
• ashishpatel26/Tensorflow_object_detection_api_install_in_single_line

  Tensorflow object detection api in single line

  Jupyter Notebook12
• ashishpatel26/regressionmetrics

  Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn

  Python12
• ashishpatel26/Audio-Masking-Methods

  Audio Masking Methods

  Python12
• ashishpatel26/all-agentic-architectures

  Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

  Jupyter Notebook11
• ashishpatel26/LangGraphProjects

  This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.

  Python11
• ashishpatel26/ai-engineer-toolkit

  Projects & Resources to help you become a better AI Developer.

  Python11
• ashishpatel26/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Jupyter Notebook11
• ashishpatel26/MLFlow-End-to-End-Workshop-at-Chandigarh-University

  MLFlow End to End Workshop at Chandigarh University

  HTML11
• ashishpatel26/Docker-For-Python-Machine-learning

  Docker For Python Machine learning

  11
• 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.

  Jupyter Notebook11
• ashishpatel26/tpu_tf2

  TPU use in single line in colab using tf2 package.

  Jupyter Notebook11
• ashishpatel26/Applied-AI-with-Deep-learning-By-IBM-Coursera

  Jupyter Notebook11
• ashishpatel26/Android-Malware-Detection-with-Machine-Learning

  Repository for the code developed in the context of my thesis entitled "Malware Detection in Android Applications with Machine Learning Techniques" for the MSc in Computer Science and Engineering at Lisbon Institute of Engineering (ISEL).

  Python10
• ashishpatel26/The-Industrialization-of-NLP-to-Large-Language-Model-Engineering

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

  10
• ashishpatel26/KnowledgeGraphLLM

  KnowledgeGraphLLM

  Python10
• ashishpatel26/IBM-Quantum-Challenge-Spring-2023-Challenge

  IBM Quantum Challenge Fall 2023

  Jupyter Notebook10
• ashishpatel26/State-of-the-Art-Deep-Learning-Models-in-TensorFlow

  State-of-the-Art Deep Learning Models in TensorFlow Modern Machine Learning in the Google Colab Ecosystem

  Jupyter Notebook10
• ashishpatel26/Data-Science-and-Machine-Learning-Projects-Dojo

  collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

  Jupyter Notebook10
• ashishpatel26/LeetCode_Solution

  LeetCode Solution

  Jupyter Notebook10