Name: Abhranil Chandra
Type: User
Company: Indian Institute of Technology, Kharagpur
Bio: Incoming MMath CS Research @ UWaterloo | UG @ IIT Kharagpur.
DL and RL Researcher...
Twitter: chandraabhranil
Location: Kolkata,West Bengal
Blog: https://abhraiitkgp.github.io/
Abhranil Chandra's Projects
Public quant internship repository, maintained by NUFT but available for everyone.
My personal website
Assignments and Term Paper Advanced Machine Learning Course (CS60073)
My solutions of the assignments of the ML course of our university.
RL agent trained from scratch using DDPG+HER to perform robotic arm manipulation
Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.
Term Paper for ML for Earth System Sciences course of Spring Sem 2022 at IIT Kgp
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Electric Vehicle Routing Problem
All Algorithms implemented in C++
Code and pre-processed data for our paper in AAAI 2022 named CABACE.
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Code for our paper "Leveraging recent advances in Pre-Trained Language Models for Eye-Tracking Prediction" in CMCL@NAACL 2021.
CNN models predict Covid-19
Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.
Lecture notes and slides of the Winter 2019 offering along with the assignment solutions I made
🍟 Stanford CS229: Machine Learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
legend
Notebooks for learning deep learning
Data analysis of customer transaction data
My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller
Grokking Deep Reinforcement Learning
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.