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300Days__MachineLearningDeepLearning
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.66Days__NaturalLanguageProcessing
I am sharing my Journey of 66DaysofData in Natural Language Processing.ML..Interview..Preparation
Preparation for Machine Learning InterviewMachineLearning_DeepLearning
I will share about Machine Learning and Deep Learning.MLOps
The repository contains a list of projects which I will work on while learning and implementing MLOps.Transformers_NLP
The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformers.Fastai
I will implement Fastai in each projects present in this repository.Meta-llama
Complete implementation of Llama2 with/without KV cache & inference 🚀ComputerVision
The repository is dedicated towards the implementation of Computer Vision.HuggingFace
I am learning from Hugging Face.CaliforniaHousing__Prices
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.MachineLearning__Algorithms
I am working on implementing Machine Learning Algorithms from scratch.NeuralNetworks__SentimentAnalysis
In this repository, I have worked out on the Large Movie Review Dataset for the Sentiment Analysis of Text. I have Implemented the CNN, RNN and LSTM to predict the Sentiment of the Text Data.Github-Actions
This is a repo for building out Github Actions and Tricks.GAN
I have prepared a Deep Convolutional Generative Adversarial Networks here.ThinamXx
Updating.........MachineLearning_with_Python
In this repository, you will gain insights about various Supervised and Unsupervised Machine Learning Algorithms implementation on real data sets along with Visualizations.ApproachingAnyMachineLearning
The repository contains a list of projects which I have worked while reading the book Approaching Any Machine Learning Problem.Covid19..DataAnalysis
In this Project, I have worked with Covid19 Data and HDI Data to analyze the relationships between the increasing rate of Covid19 patients and various HDI factors like Healthy Life, Freedom and so on.D2L
The repository contains a list of projects & notebooks which I have worked on while reading the book Dive into Deep Learning.DuplicateQuestions__Recognition
I have build a LSTM Model using Trax which can identify the Duplicate Questions or Similar Questions which is useful when we have to work with several versions of the same Questions.FacialExpression_Classification
In this repository, I have created a model which recognizes Happy Face, Sad Face, Surprise Face, Angry Face and Laughing Face using Python, Fastai API and Convolutional Neural Networks.DogBreedClassification
I have prepared a pretrained Neural Network Model which helps in Image Classification. The Model can classify 120 different breeds of dogs.SemanticAnalysis__LDA..LDIA
In this repository, I have included a Notebook which contains the Implementation of LSA, LDA and LDIA in Semantic Analysis. I have presented all the Code Snippets with proper Documentation and I hope you will gain Insights about Semantic Analysis with LSA and LDIA.reinforcement-learning
You will learn about RLHF from this repository 🤖.Horse.vs.Human_Classification
In this repository, I have used Convolution Neural Network for the binary classification between a Human and a Horse. You will gain insights about the Implementation of Convolution Neural Network in image classification.Chatbot__Sequence2Sequence
Here, I have prepared a Chatbot using Sequence to Sequence Neural Networks. I hope you will gain insights about the Implementation of Sequence to Sequence Learning in Chabot.YelpReviews__Analysis
In this repository, I have worked on the Sentiment Analysis of YELP Reviews Dataset using PyTorch. I hope you will gain some insights about the Implementation of PyTorch in Natural Language Processing.SGD_from_Scratch
In this repository, you will gain insights about the Preparation of Linear Regression and SGD using Pytorch.MusicGeneration_with_DeepLearning
In this repository, RNN and LSTM model will compose folk songs music. You will gain a lot of insights about DeepLearning and RNN.transformer-pytorch
Implementation of the Transformer model from the paper Attention Is All You Need in Pytorch.blog
Personal website for Thinam TamangAmazonReviews__Analysis
In this repository I have performed the Text Analysis of Amazon Reviews Dataset using only TensorFlow and TensorBoard. I hope you will gain some insights about the Implementation of TensorFlow here.CIFAR10__Recognition
I have prepared a Neural Networks Model which helps in recognizing the object on an image.Bitcoin_CryptocurrencyMarket..Analysis
Hey there, In this repository I will be Analyzing the Bitcoin Cryptocurrency Market. I have applied simple Data Manipulation and Data Visualization techniques. I have done this analysis using Jupyter Notebooks and Python Programming Language. Hope you get some insights about Data Manipulation!!Ups.and.Downs_with_Kardashians
While I'm not a fan nor a hater of the Kardashians and Jenners, the polarizing family intrigues me. Why? Their marketing prowess. Say what you will about them and what they stand for, they are great at the hype game. Everything they touch turns to content.Twitter..Sentiment..Analysis
Twitter Sentiment Analysis with Naive Bayes Algorithm. You can gain insights about Naive Bayes Algorithm and various Exploratory Data Analysis techniques.ImageClassification_DataAugmentation_CNN
This repository presents the Implementation of Convolutional Neural Netwoks along with ResNet by using Fast.ai from scratch.TextMining_in_Python
In this repository, you will gain insights about Natural Language Processing in Python using NLTKthinam.ai
Personal website built with FastpagesRecurrentNeuralNetworks_RNN
In this repository, you will gain insights about the implementation of Recurrent Neural Network in real-world problems.Natural_Language__Inference
I have prepared a Attention Model for Natural Language Inference.TextSentiment_Analysis
In this repository, you will gain insights about the Sentiment Analysis of Text document with the Implementation of NLTK, TF-IDF, and LogisticRegression.AutonomousDriving..YOLO
Here, you will gain insights about the implementation about the popular YOLO model in Object Detection which will ultimately helps in Autonomous Driving.ImageSegmentation_with_CamVid
In this repository, I have used Fastai Datasets to perform Image Segmentation and I have checked the accuracy of the Model. For this project, I have used Fastai Library to create the model and to check the accuracy.TV_Halftime_Shows..BigGame
Hey there!! In this Project I have tried to answer the simple Questions about the TV, Halftime Shows and the Big Games. It will give you some insights about Pandas as well. I have done this Project in Jupyter Notebook using Python Programming Language !!BreastCancer_Wisconsin_Diagnostic
In this repository, I have implemented KNeighborsClassifier to classify the Breast Cancer: Malignant or Benign.C.Programs
Hey there!! Here, I have included the basic programs of C Programming Language.TheDiscovery_of_Handwashing
Hey there!! In this notebook, I am going to reanalyze the data that made Semmelweis discover the importance of handwashing.ImageProcessing_and_Manipulation
In this repository, I have tried to process the image of Honeybee and point its difference from Bubble bee.The question at hand is: can a machine identify a bee as a honey bee or a bumble bee? These bees have different behaviors and appearances, but given the variety of backgrounds, positions, and image resolutions it can be a challenge for machines to tell them apart.PredictFutureSales_XGBoost
In this repository, I have worked out in one of the Kaggle Competition Data, "Predict Future Sales". I have used XGBoostRegressor. I have also used Fastai API for Feature Preprocessing to enhance the Model accuracy. You can get insights about Fastai Implementation as well.TimeSeries_Sunspots
In this repository, you will gain insights about the Implementation of Deep Neural Network along with CNN, RNN and LSTM on Time-Series data.LanguageTranslator_EnglishFrench
I have prepared a Model which can translate English Language to French Language with above 80% accuracy. I have used Tensorflow and Keras for this Project.ConvolutionalNeuralNetworks_CNN
In this repository, you will see various implementation of the CNN in real world problems and gain useful insights from those problems.FaceDetection_and_PrivacyProtection
In this repository, I used Python and Keras to detect the Face and Blur them for Privacy Protection. I hope you will gain some insights about Face Detection with Python and Keras.GitHub_History.of.ScalaLanguage
Hey there!! With almost 30k commits and a history spanning over ten years, Scala is a mature programming language. It is a general-purpose programming language that has recently become another prominent language for data scientists. I'm going to read in, clean up, and visualize the real world project repository of Scala.Machine_Learning..Stanford
Hey there!! In this repository I have included all the Programming exercises of Machine Learning offered by Stanford in Coursera. It was taught by Andrew Ng. It has several interesting Projects like Spam Filtering, Handwritten Digits Recognition and many more. You can access from here!!NeuralNetworks_and_DeepLearning
In this repository, you will gain insights about Neural Networks and Deep Learning.NEURAL_STYLE_TRANSFER
Here, I have prepared a Neural Networks Style Transfer Model.MNIST_CNN
In this repository, I have used CNN to MNIST Digit Classification Dataset. You can get insights about Convolutional Neural Network and its implementation for Handwritten Digit Classification.TrafficSigns..Classification
In this Project, I have prepared a Deep Convolutional Neural Network Model which can classify the 43 different classes of Traffic Signs Images with above 90% accuracy. You can get insights about the Implementation of Convolutional Neural Network in Image Classification and so on. Thank you !!CollaborativeFiltering..MovieRecommendation
In this repository, I have built Movie Recommendation System using Fast.ai approach which was built on top of PyTorch. You can get insights about the Implementation of Fastai in building Recommendation System easily with high accuracy.VisualHistory_of_NobelPrizeWinners
Hey there!! In this Project I have analyzed the Nobel Prize Winners and it's dominance by great scientists of "United States of America" over past decades. I have also figured out the oldest and youngest Nobel Prize Winners from this Dataset. I have done this project in Jupyter Notebook using Python Programming Language!!ImagePrediction_with_ResNet50
In this repository, I am going to predict the image using the pre-trained ResNet50 modules. ResNet-50 is a convolutional neural network that is 50 layers deep. ResNet50 is a pretrained version of the network trained on more than a million images from the ImageNet database.SurnameClassification__PyTorch
I have worked in Surname Classification Model Inferring Demographic Information which has applications from Product Recommendations to ensuring fair outcomes for users across different Demographics. I hope you will gain some insights.BlueBook_for_Bulldozers
Here, In this repository, I have solved one of the problems of Kaggle Competition, " Blue Book for Bulldozers"orpo-demo
Working on the implementation of ORPOCats.vs.Dogs_Classification
In this repository, I have used Convolutional Neural Network with InceptionV3 trained on Imagenet to classify Cats vs Dogs. It is one of competition from Kaggle. Hope you can get insights about implementation of CNN.InternetMovieDatabase__NLP
In this repository, I have used Fast.ai Library to classify the IMDb reviews and measure the accuracy of Model. You can get insights about the implementation of Fast.ai Library in Natural Language Processing.ASLRecognition_with_DeepLearning
In this notebook, I will train a convolutional neural network to classify images of American Sign Language (ASL) letters. After loading, examining, and preprocessing the data, I will train the network and test its performance.ABTesting_with_CookieCats
In this repository, I have used Cookie Cats Game to analyze its popularity and tried to answer some common questions like, When does the new player tend to play game more?!MachineLearning_in_WeatherData
In this project, we analyzed the Weather Pattern of Kathmandu basically focusing on Temperature and Precipitation. We have used Machine Learning viz Random Forest Regressor, and Plotly & Seaborn for Data Visualization.TopicModeling__NLP
In this repository, I have performed Topic Modeling using Singular Value Decomposition and Non Negative Matrix Formation along with TFIDF Count Vectors.Planet..Understanding_Amazon_from_Space
In this repository, I have worked on Image Data from one of the Kaggle Competition. Hope you will gain insights about Image Data analysis.WordFrequency_using_NLTK
In this repository, I have used NLP to determine: What are the most frequent words in Herman Melville's novel Moby Dick and how often do they occur?TheBattle_of_Neighborhood..Toronto
In this repository I have performed the Analysis using Python, API, basic Machine Learning Algorithms and Jupyter Notebook to get the insights og Toronto Neighborhood. Here I have also included the Analyzed Report for better understanding for the reader!!TheAndroidAppMarket_on_GooglePlay
Hey there!! Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this Project, I have done a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories.cuda-mode
Making of cuda kernelbuild-GPT
Building GPT ...PredictingCreditCard_Approval
Hey there!! In this repository I have applied the Supervised Machine Learning techniques to predict the Approval and Denial of Credit Card Applications. This repository will give you the insights of Supervised Machine Learning Techniques.NIPS_Papers..NLP
The NIPS conference (Neural Information Processing Systems) is one of the most prestigious yearly events in the machine learning community. At each NIPS conference, a large number of research papers are published. In this repository I am going to analyze the Hottest topic in Machine Learning using Jupyter Notebook & Python. I have used Natural Language Processing techniques to analyze.Rossmann_Store_Sales
In this repository, I have worked out one of the problems of Kaggle Competition, "Rossmann Store Sales". You can get insights about the use of Fast.ai Library in Time Series Dataset.Tabular_Data..AustinAnimalCenter
In this repository, I will include Projects or Notebooks which basically focuses on Implementation of Machine Learning and Deep Learning in Tabular Data.Love Open Source and this site? Check out how you can help us