Arun Gopinath's starred repositories
notebook_demo
An Obsidian Notebook demo
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
happy-birthday
Wish your friend/loved-ones happy birthday in a nerdy way.
SharkStock
Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.
Live_Stock_Market_Forecasting
đź’¸ Forecasting stock price of any company for next "n" days
Hugo_shortcode_gallery
simple yet stylish Hugo shorcode gallery
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Python-NSE-Option-Chain-Analyzer
The NSE has a website that displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates profit/loss data for the pairs for the specified Index or Stock. It also continuously refreshes the Option Chain.
Python-Algo-Trading-Zerodha
This repo contains sample templates for implementing strategies in python.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
ICC-2023-Worldcup-prediction
Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.
automatic-sem-image-segmentation
Workflow for Simulation and Automatic Semantic Segmentation of Electron Microscopy Images
pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
streamlit_prophet
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Data-Science-Projects
Collection of data science projects in Python
100-Days-Of-ML-Code
100 Days of ML Coding
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
data-science
:bar_chart: Path to a free self-taught education in Data Science!
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)