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algorithms

A collection of algorithms and data structures

billsharing

cal.com

Scheduling infrastructure for absolutely everyone.

charcnn

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

first-contributions

🚀✨ Help beginners to contribute to open source projects

flask-tutorial

hmm

Python Hidden Markov Models framework

indbmemoryimplementation

install-opencv

shell scripts to install different version of OpenCV in different distributions of Linux

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lane_detection-navigation

lanedetetction

Python implementation to detect lanes on road for driverless cars

learntris

a test suite to help you implement a famous falling blocks game

leetcode-questions-companywise

Contains Company Wise Questions sorted based on Frequency and all time

lrucachedesign

lstm-siamese-text-similarity

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

ml_intern

playing-games-with-python

Reinforcement Learning.https://s3.gifyu.com/images/games.gif

prediction-of-future-location-using-hidden-markov-model

Prediction of Future location using Hidden Markov Model

project

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

treestructure

Table Extraction Tool

vse-c

Implementation of our paper "Learning Visually-Grounded Semantics from Contrastive Adversarial Samples" at COLING 2018.

webrtc-scalable-broadcast

This module simply initializes socket.io and configures it in a way that single broadcast can be relayed over unlimited users without any bandwidth/CPU usage issues. Everything happens peer-to-peer!

word-embeddings-from-scratch

Creating word embeddings from scratch and visualize them on TensorBoard. Using this trained embeddings in Keras.