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100-days-of-ml-code

100 Days of ML Coding

100-days-of-ml-code-1

A day to day plan for this challenge. Covers both theoritical and practical aspects

100daysofmlcode

ai_doctor

aind-dl

bentoml-explorations

Contains my experiments made with the mighty library BentoML

cdqa

An End-To-End Closed Domain Question Answering System.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cpt

This is the native Python implementation of CPT(compact Prediction Tree)

csvtorasa

Converts data present in a standard format in CSV to rasa format nlu.md file

cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

data-science-best-resources

All my best choice resource links for data science in one place

data-science-blogs

A curated list of data science blogs

data-science-cheatsheet

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-with-python-notebooks

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

deep_learning_object_detection

A paper list of object detection using deep learning.

dlaicourse

Notebooks for learning deep learning

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

elmo-tutorial

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

email-summarization

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

employee_attrition_use_case

farm

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry.

fastai_docs

dev notebooks (for docs see http://docs.fast.ai and https://github.com/fastai/fastai)

gensim

Topic Modelling for Humans

hiddenmarkovmodels

Simple implementation of Hidden Markov Model for discrete outcomes/observations in Python. It contains implementation of 1. Forward algorithm 2. Viterbi Algorithm and 3. Forward/Backward i.e. Baum-Welch Algorithm.

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

keras-idiomatic-programmer

Handbooks, Code Samples, and Model Zoo for Software Engineers wanting to learn the TF.Keras Machine Learning framework

keybert

Minimal keyword extraction with BERT

logisticregression_vectorized_implementation