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Md. Mahim Anjum Haque photo

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followers: 55.0 following: 239.0 repos: 105.0 gists: 0.0

Name: Md. Mahim Anjum Haque

Type: User

Company: MS in Computer Science at Virginia Tech

Bio: Graduated from BUET, Doing MS at Vtech, Interested in Symbolic AI, Deep Reinforcement Learning, and Theoretical Machine Learning.

Twitter: mahimpantho

Location: Blacksburg, Virginia

Blog: https://www.mahimanzum.com/

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Hi there 👋

Hi I am Md Mahim Anjum Haque. I am a Masters Student at the Computer Science department of Virginia Polytechnique Institute and State University (Vtech). I work on the intersection of Artificial Intelligence and Software Engineering. My research focuses on the Automation of Software Engineering Systems using Machine Learning. I Published in top-tier conferences Like ACL, IST, ICANN, HORA. Over the years, I developed tools for program bug fixing, vulnerability detection, and modeling program changes. I am also interested in automatic code generation from Natural Language and Library learning, abstraction from a Domain-Specific Language. I am skilled in Full-Stack Deep Learning and created industry-standard deep learning tools and deployed them using Docker and Kubernetes. I am also Skilled in Python, C++, Java, Distributed training of deep learning models using Pytorch, Tensorflow, Keras etc. I work on problems where I can apply the knowledge I gained throughout my job, Undergrad, and Ph.D. career as well as learn new things to embrace new challenges. I am also a competitive programmer by passion and try to participate regularly in codeforces, leetcode contests and I have solved more than 2 thousand problems in various platforms online and offline.

Md. Mahim Anjum Haque's Projects

adaptis

[ICCV19] AdaptIS: Adaptive Instance Selection Network

aml_group_project

asr_bangla_crnn_ctc

automatic-helmet-detection

Video Analysis using Machine Learning

automaticdetectionofbikeriderdrivingwithouthelmet

Automatic detection of bike-riders which are not wearing helmet. Faster-RCNN model is trainned by supervised learning using TensorFlow API which detect the objects and draw the bounding box with prediction score.

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-competitive-programming

:gem: A curated list of awesome competitive programming / algorithm / data structure resources

bangal_ocr-using_crnn-with-ctc-loss

bangla_electra_lm-simpletransformer

here are sample codes for tokenization and training from bangla text files for models line XLMRoberta, Electra, GPT2,Transformer-xl

bert_sentiment_classifier_hf

A sentiment classifier using a kaggle dataset and pretrained bert from huggingface

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

calculator_dsl_plc_rename

A sample calculator Module with Go lang with own lexar, grammar parser

cf_stats

channel-equalization

Channel equalization (Viterbi algorithm)

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

code2seq_per_project

codesearchnet

Datasets, tools, and benchmarks for representation learning of code.

coding-creed-origins

My solved problems

content_based_image_retrieval

corebart

A Code Repairing BART model

cpp_pointer

Some basic codes for understanding pointer clearly

ctw-baseline

Baseline methods for [CTW dataset](https://ctwdataset.github.io/)

data-science

Data science

data-science-interview-questions-answers

decision-tree-from-scratch

Decision Tree from scratch with Adaboost

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-specialization-coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deep-math-machine-learning.ai

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

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