Ashish Patel

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

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.

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

Andrew-NG-Notes. This is Andrew NG Coursera Handwritten Notes.

LLM-Finetuning. LLM Finetuning with peft

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

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

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.

Real-time-ML-Project. A curated list of applied machine learning and data science notebooks and libraries across different industries.

ResourceBank_CV_NLP_MLOPS_2022. This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

Tensorflow-in-practise-Specialization. Four Courses Specialization Tensorflow in practise Specialization

ashishpatel26. ashishpatel26

Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy. Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy

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

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

Vision-Transformer-Keras-Tensorflow-Pytorch-Examples. Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer

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

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

LLM-Engineering-Crash-Course. LLM Engineering CrashCourse

Best-Audio-Classification-Resources-with-Deep-learning. List of articles related to deep learning applied to music

Last-Minute-Notes-of-Machine-learning-and-Deep-learning. Last Minute Note of Machine learning and Deep learning by Jason Brownlee

TensorFlow-Advanced-Techniques-Specialization. Tensorflow Advanced Technique Specialization

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.

Computer-Vision-Industry-Use-Cases. Computer Vision Industry Use Cases

ML-Notes-in-Markdown. Machine learning notes that make your reading easy

Market-Basket-Analysis. Association rule mining is a technique to identify underlying relations between different items.

Coursera-Guided-Projects-2021. Coursera Guided Projects 2021

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

Data-Science-Tutorial-By-Lambda-School. Jupyter Notebook

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

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

Amazing-Collection-Vehicle-Routing-Problem. Amazing Collection Vehicle Routing Problem

Yolov5-King-of-object-Detection. Yolov5 : You Look Only Once v5 Learning Resources and Collection

CVPR2024. CVPR 2024 Research Paper with Code

Awesome-Pytorch-Tutorials. Awesome Pytorch Tutorials

Introduction-to-Time-Series-forecasting. Time Series Analysis of Internation Air Passengers

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

Awesome-Machine-learning-Deep-learning-Deployment. Awesome Machine learning Deep learning Deployment

Awesome-MLOps-Course-Outline. Awesome MLOps Course Outline

Agentic-RAG-with-MCP-Server. Agentic RAG with MCP Server

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

AI-For-Beginners. 12 Weeks, 24 Lessons, AI for All!

AI-Links.

Best-Data-Science-Learning-Resources. My Study Collection data science courses, Article etc.

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

Facial-Expression-Recognization-using-JAFFE. Facial Expression Recognization using JAFFE

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.

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.

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

DataStructure-for-Data-Science. Datastructure for data science

Data-Science-ML-Full-Stack. Everything you need to know for data science.

best-of-ml-python. 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

Ganpat-University-Data-Science. This is repository of Crash Course of data science at Ganpat University

agents. Repo for the Complete Agentic AI Engineering Course

PSO-TF2. PSO On neural Network and LSTM

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

Kubeflow-installation-on-windows-10. Kubeflow installation on windows 10/11