Smrutiranjan Sahu (smrjans)

smrjans

Geek Repo

Company:Talentica

Location:Pune

Twitter:@smrutiranjan_ai

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Smrutiranjan Sahu's repositories

aiva

AIVA (A.I. Virtual Assistant): General-purpose virtual assistant for developers.

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Computer-Vision-Course-Note

Computer Vision Course Note

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deep-learning-book-notes

Notebooks prepared while reading the Deep Learning book

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DeepRLHacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

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dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

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dnnQuery

Deep neural parser for database query

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DRL_papernotes

Notes and comments about Deep Reinforcement Learning papers

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HulkSmashThor

THOR Challenge for the CVPR 2017 Workshop on Visual Understanding Across Modalities

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machine-learning

:earth_americas: machine learning algorithms tutorials (mainly in Python)

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ml-cheatsheet

Machine learning cheatsheet

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movie-demo-frontend

js frontend for movie recommender demo

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NapkinML

A tiny lib with pocket-sized implementations of machine learning models in NumPy.

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orbit-image-analysis

A versatile image analysis software for biological image-based quantification using machine learning, especially for whole slide imaging.

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pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

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playcanvas-ar

Fast and Easy Augmented Reality for the Web :rocket:

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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 ;)

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python-nlp-opencv-ml-docker

Python docker image with a lot of natural language processing, image processing and machine learning libraries installed.

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pytorch-madrl

PyTorch implementations of various DRL algorithms for both single agent and multi-agent.

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pytorch.rl.learning

for learning reinforcement learning using PyTorch.

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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scalable-data-science

Course in scalabe data science using Apache Spark over Databricks.

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slam

learning SLAM,curse,paper and others

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