NeerajSarwan

CPT

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

Calibrating-Probabilities-in-Supervised-Learning

Hands-On-Reinforcement-Learning-With-Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

it_hr_classification

NeerajSarwan.github.io

anuditverma.github.io

Anudit Verma's blog

aster

a python based module (bot) to generate kaggle baseline kernels

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

CSRNet-keras

Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow

daattali.github.io

Dean Attali's website - R/Shiny Consultant

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.

datasets

Datasets available in the public domain

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

DeepLearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

driverlessai-recipes

Recipes for Driverless AI

Emotion_Recognition

A live emotion recognition tool.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

flint

A Time Series Library for Apache Spark

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Keras-GAN

Keras implementations of Generative Adversarial Networks.

ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms

pke

Python Keyphrase Extraction module

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Python

All Algorithms implemented in Python

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

the-gan-zoo

A list of all named GANs!