Pinned Repositories
autods
Duckworth-Lewis-Stern-Calculator
The implementation of DLS using Non-linear Regression
ManishAradwad.github.io
Personal Portfolio
Traffic_Sign_Detection
This project is done as a part of Digital Image Processing Course at IISc, Bangalore. It is an object detection project in which we detect the traffic signs. This project is done using Yolo v5 algorithm and ultralytics' package is used to train the algorithm on Kaggle's Traffic Sign Detection Dataset.
ManishAradwad's Repositories
ManishAradwad/Duckworth-Lewis-Stern-Calculator
The implementation of DLS using Non-linear Regression
ManishAradwad/Traffic_Sign_Detection
This project is done as a part of Digital Image Processing Course at IISc, Bangalore. It is an object detection project in which we detect the traffic signs. This project is done using Yolo v5 algorithm and ultralytics' package is used to train the algorithm on Kaggle's Traffic Sign Detection Dataset.
ManishAradwad/autods
ManishAradwad/ChatPy
A Simple replacement for ChatGPT
ManishAradwad/Competitive-Programming
My Journey of Competitive Programming...
ManishAradwad/ManishAradwad.github.io
Personal Portfolio
ManishAradwad/microsoft_passport_challenge
ManishAradwad/ML_Stuff
Machine_Learning_Stuff
ManishAradwad/practathon
Solution for the practathon problem statement:
ManishAradwad/tensorflow
An Open Source Machine Learning Framework for Everyone
ManishAradwad/addons-server
🕶 addons.mozilla.org Django app and API 🎉
ManishAradwad/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
ManishAradwad/DATA_SCIENCE
The influence of temperature and monthly or seasonwise trends on the annual electricity consumption in IIT-Bombay has been investigated in order to develop a simple and data light electricity consumption forecasting model, to be used as part of more complex planning tools. The time period considered for the historical data is from January 2017 to December 2017. Multivariable Linear regression models are developed using historical electricity consumption, day, month, and weekday. Annual electricity consumption was strongly related to the selected variables.
ManishAradwad/datasets
A collection of datasets ready to use with TensorFlow
ManishAradwad/DIP_Assignments
Programming Assignments with solutions of Digital Image Processing course at IISc
ManishAradwad/docs
TensorFlow documentation
ManishAradwad/examples
TensorFlow examples
ManishAradwad/Extension-Activity-Monitor
Mozilla Firefox Add-on which will help users to monitor browser activites of installed extensions
ManishAradwad/FCC_Projects
Projects implemented as a part of FreeCodeCamp Course
ManishAradwad/firefox-activity-log
Experimental extension activity logging for Firefox
ManishAradwad/Infermo
Tensors and dynamic Neural Networks in Mojo
ManishAradwad/InfoFlow
Talk to your websites
ManishAradwad/Kaggle
ManishAradwad/langchain
⚡ Building applications with LLMs through composability ⚡
ManishAradwad/mlx
MLX: An array framework for Apple silicon
ManishAradwad/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ManishAradwad/scikit-learn
scikit-learn: machine learning in Python
ManishAradwad/simpleaichat
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
ManishAradwad/tensorboard
TensorFlow's Visualization Toolkit
ManishAradwad/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.