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100-days-of-ml-code

100 Days of ML Coding

agent

AI Generation and Exploration in Test

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

data_science

deep-learning

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning-experiment

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

emlo

ML Ops

end-program

TSAI NLP PROGRAM

fastai

The fastai deep learning library, plus lessons and and tutorials

fastai_in_colab

I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!

fastai_v3

interpretable-ml-book

Book about interpretable machine learning

machine-learning-course

:speech_balloon: Machine Learning Course with Python

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mlblr

MLBLR

mnist_nndl

Neural Networks & Deep Learning

notebooks

Machine learning notebooks in different subjects optimized to run in google collaboratory

practicalai

📚A practical approach to learning machine learning.

python

All Algorithms implemented in Python

python_for_dl

Pandas,Numpy,Matplotlib,Seaborn

pytorch

Vision with torch

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tensornet

API layer built on tensorflow-2.0

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

vips_java

Implementation of Vision Based Page Segmentation algorithm in Java