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500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural NetworkAndrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.Treasure-of-Transformers
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️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.ResourceBank_CV_NLP_MLOPS_2022
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin PostReal-time-ML-Project
A curated list of applied machine learning and data science notebooks and libraries across different industries.Tensorflow-in-practise-Specialization
Four Courses Specialization Tensorflow in practise SpecializationVision-Transformer-Keras-Tensorflow-Pytorch-Examples
Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: TransformerPredictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
Predictive_Maintenance_using_Machine-Learning_Microsoft_CasestudyLast-Minute-Notes-of-Machine-learning-and-Deep-learning
Last Minute Note of Machine learning and Deep learning by Jason BrownleeBest-Audio-Classification-Resources-with-Deep-learning
List of articles related to deep learning applied to musicsatellite-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_ResNetBlockTensorFlow-Advanced-Techniques-Specialization
Tensorflow Advanced Technique Specializationdatascienv
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 libraries14-days-Beginner-Practical-Guide-of-Machine-Learning
14 days Beginner Practical Guide of Machine LearningComputer-Vision-Industry-Use-Cases
Computer Vision Industry Use CasesMarket-Basket-Analysis
Association rule mining is a technique to identify underlying relations between different items.tcn-keras-Examples
This repository contains example of keras-tcn on easy way.Coursera-Guided-Projects-2021
Coursera Guided Projects 2021Yolov5-King-of-object-Detection
Yolov5 : You Look Only Once v5 Learning Resources and CollectionAmazing-Collection-Vehicle-Routing-Problem
Amazing Collection Vehicle Routing ProblemML-Notes-in-Markdown
Machine learning notes that make your reading easyData-Science-Tutorial-By-Lambda-School
Introduction-to-Time-Series-forecasting
Time Series Analysis of Internation Air Passengersashishpatel26
ashishpatel26Titanic-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 basicsAwesome-Machine-learning-Deep-learning-Deployment
Awesome Machine learning Deep learning DeploymentBest-Data-Science-Learning-Resources
My Study Collection data science courses, Article etc.Facial-Expression-Recognization-using-JAFFE
Facial Expression Recognization using JAFFEAwesome-MLOps-Course-Outline
Awesome MLOps Course OutlineMeta-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/BURZEBYF8K3AAwesome-Pytorch-Tutorials
Awesome Pytorch TutorialsData-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.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 EmbeddingSkin-Lesions-Detection-Deep-learning
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification on HAM10000 dataset largescale data.Ganpat-University-Data-Science
This is repository of Crash Course of data science at Ganpat UniversityNYSE-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.Kubeflow-installation-on-windows-10
Kubeflow installation on windows 10/11Nice-object-detection-Collection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.htmlComputer-Vision-Papers-of-the-week
Computer Vision Papers of the weekPSO-TF2
PSO On neural Network and LSTMAudio-Classification-Resources
Best Collection of Articles and code for Audio ClassificationTensorflow_object_detection_api_install_in_single_line
Tensorflow object detection api in single lineAdvanced-Machine-Learning-and-Signal-Processing-IBM
Advanced Machine Learning and Signal Processing IBMMLflow_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.regressionmetrics
Regression Metrics Calculation Made easy for tensorflow2 and scikit-learnMachine-Learning-140-Formula
Formula of Machine Learningtpu_tf2
TPU use in single line in colab using tf2 package.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.Facebook-AI-DEtection-TRansformer-DETR-Object-Detection
End-to-End Object Detection with TransformersAudio-Masking-Methods
Audio Masking MethodsLeetCode_Solution
LeetCode SolutionRapidsai_Machine_learning_on_GPU
Rapidsai_Machine_learnring_on_GPUtensorflow-installation-on-windows10-CUDA-and-cudnn
TensorFlow installation on windows10 CUDA and cudnnApplied-AI-with-Deep-learning-By-IBM-Coursera
Docker-For-Python-Machine-learning
Docker For Python Machine learningpyMetaheuristic
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 EvolutionMLFlow-End-to-End-Workshop-at-Chandigarh-University
MLFlow End to End Workshop at Chandigarh UniversityCuda-installation-on-WSL2-Ubuntu-20.04-and-Windows11
Cuda installation on WSL2 Ubuntu 20.04 and Windows11SRCNN_SRGAN_ESRGAN_ON_BRAIN_MRI
SRCNN_SRGAN_ESRGAN_ON_BRAIN_MRIG613-Double-Typing-issue-resolved
Easy-ML-and-DL
Easy ML and DL all repository of learning at one placesklearn-ranking
Sklearn-ranking is ranking algorithm used for recommendation system algorithm. RANKSVM, RANKBOOST, RANKNET is included in this packageThe-Industrialization-of-NLP-to-Large-Language-Model-Engineering
From Research to Production: The Industrialization of NLP to Large Language Model Engineering100-Days-of-Algorithms
100 days of algorithmsSRGAN_Keras_Tensorflow2
Easy way to run SRGAN Keras TensorflowOpenCV2_Learning
OpenCV2 Learning for computer visionAudio-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.Ganpat-STTP-on-Data-Analytics-with-Python
Ganpat STTP on Data Analytics with PythonKaggle-dataset-download-colab
How to download kaggle dataset for colabIBM-Quantum-Machine-Learning-2021
Lab work of IBM Quantum Machine Learning 2021DataAnalysisworkshop_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, 2022Image-Search-Engine
Image Search Engine with HuggingFace Sentence TransformerGenerativeAI_with_PALM
GenerativeAI_with_PALMTensorflow-Keras-Custom-Data-Generator
Tensorflow2 Keras Custom Data GeneratorBest-Pytorch-Beginner-Guide
Best Beginner tutorial for All who want to be a master of pytorch.IBM-Quantum-Challenge-Africa-2021
IBM-Quantum-Challenge-Africa-2021Streamlit_ML_DL
Streamlit_ML_DLSemantic-Segmentation-Keras-Tensorflow-Example
Semantic Segmentation ExamplePython-guide-for-Easy-to-complex-problem
Python Guide for Easy to Complex problem for Data Scientistashishpatelcv
My CV detailsMl-Lessons
Deep Learning for medical imagingPytorch-Learning
This Pytorch Learning Series Contains Basic to Advance tutorials with Simple ExplainationChainlit_Tutorials
Chainlit_TutorialsData-Cleaning-with-python
Data Cleaning is major part of Data Science Cycle. It will take 80% time.Sampling-Method-with-Code
Sampling Method with CodeSelf-Supervised-Learning
Self-Supervised-Learning with Lightly for Learning PurposePython-for-Data-Science-101
This is step by step guide to make u master in DataScience CodeUseful-deep-Learning-Resources
Pytorch-Foundation-Project-with-real-world-dataset
Pytorch Foundation Project with real world datasetDataStructure_For_DataScientist
This Course Notes Practise Notebook Course Link : https://www.udemy.com/course/python-data-structures-a-to-z/Baby-Steps-of-Keras-Deep-Learning
Shapelet-time-Series-Classification
Shapelet time Series Classification with tslearnGRADCAM-Tensorflow2-Visual-Explainable-AI
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationAnomaly-or-Outlier-Detection
Anomaly or Outlier Detection Research Paper and CodePredictive-Maintenance-for-Air-Quality
Air Quality Index Predict the weather is good or badCovid19-tweet-sentimental-Analysis
Covid19 tweet sentimental Analysis