Name: sayantan sadhu
Type: User
Company: Kalyani Government Engineering College
Bio: SE @ TCS, Ex AI algorithm developer @AarishTech, Kaggle 2x Expert, Open Source Contributor
Location: Kalyani
Blog: https://sayantan1410.github.io
sayantan sadhu's Projects
This is the data visualization of the Kaggle data set 'All space missions since 1957'. There is no prediction and this is just the visualization
Approaching (Almost) Any Machine Learning Problem
The Repository contains the code for all the blogs that I have written in different platforms.
web-based technical screener for candlestick patterns using Python and Flask
Web Application to generate your training scripts with PyTorch Ignite
The COVID-19 hotpots app
Parallel computing with task scheduling
Problems and Concepts related to DSA in python coded in the form of a notebook.
This contains data analysis projects
This is the submission repository for the evaluation for the project of Deeplense of organization ML4SCI
š¤ Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
A simple approach to make prediction on the MNIST dataset. I will be adding different computer vision algorithms to get a overview of how good they are.
This is a project where I will scrape and collect data about the economies of different states of India, make analysis on them and finally try and deploy the insights and visualizations.
:tshirt: Improve this repository and get yourself some free t-shirts.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
For the Frontend Development of the training/internship under MinD Webs
The Unified Machine Learning Framework
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
a simple layout of a login page
From scratch implementation of some machine learning algorithms.
A Julia machine learning framework
This is my solution of the Analytics Vidhya Hackathon - Jobathon. I got a public Leader board rank of 29 and a private Leader Board rank of 306. I have used a weighted average of two Lightgbm model and finally got a roc auc score of around .8735 in the public leader board. I tried doing feature engineering but the model gave better performance when I did minimal changes to the data. This is probably because the overfits in the training dataset extremely.
Single Page CV-Blog using Jekyll
š¤ A list of open LLMs available for commercial use.