sw-ot-ashishpatel's Stars
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
sauravk90/ML-Model-Flask-Deployment
Demo project to show how Machine Learn Models are deployed on production using Flask API
ashishpatel26/Tensorflow-in-practise-Specialization
Four Courses Specialization Tensorflow in practise Specialization
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
ashishpatel26/Easy-ML-and-DL
Easy ML and DL all repository of learning at one place
ddbourgin/numpy-ml
Machine learning, in numpy
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
ashishpatel26/healthcare_ml
A curated list of ML|NLP resources for healthcare.
brightmart/text_classification
all kinds of text classification models and more with deep learning
parulnith/10-Simple-hacks-to-speed-up-your-Data-Analysis-in-Python
Some useful Tips and Tricks to speed up the data analysis process in Python.
zihangdai/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
rutalad08/Spotify-Music-Analysis-Using-Machine-Learning
Web Scraped data from spotify.com website to perform predictive analysis using Python. Wrangled and pre-processed data and developed strategies to categorize the audio features of the song. Trained supervised classification methods to predict the likeness of the song. Trained Logistic Regression model on a scaled version of data to determine which audio feature has the biggest impact on the likeliness of the song.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
sw-ot-ashishpatel/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
ashishpatel26/Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
ashishpatel26/Best-Data-Science-Learning-Resources
My Study Collection data science courses, Article etc.
ashishpatel26/Data-Cleaning-with-python
Data Cleaning is major part of Data Science Cycle. It will take 80% time.
ashishpatel26/machine-learning-course
:speech_balloon: Machine Learning Course with Python
ashishpatel26/Udacity-ML-Capstone
Udacity 2018 Machine Learning Nanodegree Capstone project
ashishpatel26/Market-Basket-Analysis
Association rule mining is a technique to identify underlying relations between different items.
ashishpatel26/Useful-deep-Learning-Resources
ashishpatel26/Nice-object-detection-Collection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
ashishpatel26/Star-Collection-of-Machine-learning
Original Author link : https://github.com/charlesliucn/stars-collection
ashishpatel26/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
ashishpatel26/ML-Notes-in-Markdown
Machine learning notes that make your reading easy
tensorflow/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
pipette/Electricity-load-disaggregation
Smart meter load disaggregation with Hidden Markov Models
dragen1860/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
cloud-annotations/cloud-annotations
🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
ashishpatel26/Practical-time-series-by-Packt-publication
Practical Time-Series Analysis, published by Packt