yogi2099's Stars
DustinAlandzes/machine-learning-with-python-cookbook-notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
amrrs/For-Data-Science-Beginners
Set of 📝 with 🔗 to help those who are Data Science beginners 🤖
romanorac/jupyter-notebook-to-ebook
Transform Jupyter Notebook to a beautifully formated Ebook
susanli2016/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
codota/jupyter-tabnine
Autocompletion with Deep Learning on Jupyter Notebook
PAIR-code/facets
Visualizations for machine learning datasets
anujvyas/Diabetes-Prediction-Deployment
sapanz/Hackerrank-Problem-Solving-Python-Solutions
Hackerrank Problem solving solutions in Python
beingdatum/NaturalLanguageProcessing
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
tirthajyoti/Data-science-best-resources
Carefully curated resource links for data science in one place
JayaRaghavendra/Covid19-Digital-Test
Covid
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
mozilla/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
colearninglounge/co-learning-lounge
Welcome to the one point community-driven encyclopedia for anything in technology.
WisconsinAIVision/MixNMatch
Pytorch implementation of MixNMatch
AliaksandrSiarohin/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Jcharis/Data-Cleaning-Practical-Examples
Data Cleaning In Python and Julia with Practical Examples
ploner/coronavirus-py
Simple web app showing Coronavirus case data using Python, Dash and Plotly
abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
rasbt/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
polynote/polynote
A better notebook for Scala (and more)
pyjanitor-devs/pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
8080labs/pyforest
pyforest - feel the bliss of automated imports
zhiwehu/Python-programming-exercises
100+ Python challenging programming exercises
bhattbhavesh91/time_series_notebooks
My Experiments with Time Series
TarrySingh/ERNIE
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
HendrikStrobelt/detecting-fake-text
Giant Language Model Test Room
uber-research/EvoGrad