- Jinan, Shandong, China
- https://nasimulhasan.github.io/nasimulhasan/
Stars
Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
A comprehensive list of awesome contrastive self-supervised learning papers.
An Intelligent Honeypot for Heterogeneous IoT Devices using Reinforcement Learning
Handwritten Text Recognition using TensorFlow
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
Demo of Elastic Weight Consolidation to allow a neural network to learn different datasets in sequence.
This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.
#WORK IN PROGRESS PyTorch Implementation of Supervised and Deep Q-Learning EWC(Elastic Weight Consolidation), introduced in "Overcoming Catastrophic Forgetting in Neural Networks"
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Custom Beamer Slides for USF (University of South Florida)
Curated list of project-based tutorials
nasimulhasan / handson-ml
Forked from ageron/handson-mlA series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Programming for Everybody (Python) by Charles Severance
Assignments from the Python fundamentals course
kaldi-asr/kaldi is the official location of the Kaldi project.
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.