tamoghnokandar Goto Github PK

190100126_web_dev

Web Development,Learners Space 2020

ae6102-project

algorithmic-trading

Algorithmic trading using machine learning.

blog-application

cheatsheets-and-notes-for-ml-dl-interviews

cifar-10

codeinquarantine

codes

cphb

Competitive Programmer's Handbook

cs-635-assignments

cs747-foundations-of-intelligent-and-learning-agents

CS 747 course repository

ds-203-course-project

facial-expression-recognition

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

fundamentals_of_mlops_190100126

getting-started-with-weaviate-python-client

gnr-638-project

interview-prep

Here is how to prepare for Data Structures / Algorithms for Coding Interviews. This is a comprehensive collection of problems across hot interview topics like Dynamic Programming, LinkedLists, Greedy, Arrays, Binary Trees, Trees, etc.

latex

Resume latex code

me766_project

ocp

https://opencatalystproject.org/

pluto-v3r-sample-codes

Sample codes for Pluto-V3R drone.

project-based-learning

Curated list of project-based tutorials

project-euler

project euler programs in python

session

signature-recognition

soc-20-un-structured

We all have used scanned copies of books and have been irritated by the fact that we cannot directly navigate to a particular section of the document or do a Ctrl+F. This project aims to take unstructured text as the input data and to give us nice and good looking structured text. This is not only restricted to properly written text as in a book but also extends to targeting problems like a self driving car detecting and understanding random road signs, automatic detection systems to record and interpret number plates of vehicles which did not follow the red light, and much more! So, let's dwell deep into the technicalities of the project. In simple words, the problem we're targeting is as follows - "You have an image as an input which contains text at certain locations in the image. You need to detect the text and generate the text present in the input as the output. This involves segmenting the given image to focus only on the part of the image which contains text. Then you need to implement text recognition to generate the output."

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-price-predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

tensorflow-vdsr

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'