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25 search results found
Learn Data Science For Free
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4,899
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
What_are_embeddings
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552
A deep dive into embeddings starting from fundamentals
Machine Learning Articles
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519
Monthly Series - Top 10 Machine Learning Articles
Ml Projectkart
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362
🙌Kart of 232+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
Pyss3
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307
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
Machine Learning Notebooks
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241
Machine Learning notebooks for refreshing concepts.
Ai_chatbot_python
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195
AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn
Awesome Deep Learning And Machine Learning Questions
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177
【不定期更新】收集整理的一些网站中(如知乎、Quora、Reddit、Stack Exchange等)与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
Multi Type Td Tsr
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161
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Echo
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138
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
Ml Dl Scripts
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106
The repository provides usefull python scripts for ML and data analysis
Hackerrank
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89
This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth
Word2vec
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81
word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch
Lda Topic Modeling
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78
A PureScript, browser-based implementation of LDA topic modeling.
Awesome Python Machine Learning Resources
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77
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
Machine Learning Notebooks
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69
🤖 An authorial set of fundamental python recipes on Machine Learning and Artificial Intelligence.
100daysofml
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67
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
Data Science And Machine Learning Projects Dojo
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67
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
Paperweeklyai
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63
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Free Artificial Intelligence Resources
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62
Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.
Fromscratch
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58
Extra Model
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50
Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
Machine Learning Andrewng Deeplearning.ai
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49
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
Threatreportextractor
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44
Extracting Attack Behavior from Threat Reports
Pylda
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44
A Latent Dirichlet Allocation implementation in Python.
Kaggle Courses
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39
Courses on Kaggle
Vlainic.github.io
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27
My GitHub blog: things you might be interested, and probably not...
List
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26
Lite Self-Training
Word2vec.tools
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23
.Net Implementation for google word2vec tools.
Ml Algorithms
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22
List of some top machine learning algorithms. Just give a dive and explore the world of ML
300daysofmachinelearning Deeplearning
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19
Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Machine Learning
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17
A set of jupyter notebooks
Agepredictor
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13
Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum
Machine Learning Templates
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13
Machine Learning From Scratch
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12
🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.
Sentimentanalysis Python Demo
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10
Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models
Prml_note
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10
机器学习与模式识别相关笔记
Nlp
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9
This repository contains Sentiment Classification, Word Level Text Generation, Character Level Text Generation and other important codes/notes on NLP. Python and Keras are used for implementation.
Word Embedding Visualizer
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9
A tool to view how Word2Vec represents words in your favourite books.
Tf Dnc
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8
Tensorflow implementation of the Differentiable Neural Computer
Pytorch Pretrained Bert
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8
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
Pyqna
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7
A simple python package for question answering.
Machine Learning
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7
Machine learning algorithms from scratch
Slamby Api
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7
Slamby API under AGPL-3.0 license
Hodmd Experiments
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6
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition
Diagnosisextraction_ml
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6
Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.
Automatic Indian Sign Language Translator Isl
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6
I created an application which takes in live speech or audio recording as input, converts it into text and displays the relevant Indian Sign Language images or GIFs, using Natural Language Processing and Machine Learning Algorithm.
Twitter 2020 Sentiment Analysis
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6
Sentiment Analysis Project using Natural Language Processing (NLP) Techniques
Cbda
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5
Cyber Bullying Detection Application (CBDA)
Career Track Data Scientist With Python
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5
This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
Machine Learning
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5
My Implementation of Machine Learning models
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