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Madhur Panwar's Projects

compiler-construction icon compiler-construction

A compiler for a custom language named ERPLAG. All modules are implemented including Lexer, Parser, Semantic Analyzer and Code Generator.

crisp2019 icon crisp2019

This is the MATLAB R2019b code for the Crisp Boundary Detection.

eend icon eend

End-to-End Neural Diarization

firewall-engine icon firewall-engine

Prolog implementation of the Firewall Rule Language. Decides whether a given packet gets accepted, rejected or dropped.

hfe-tester-assembly icon hfe-tester-assembly

A Microprocessor Transistor hFE tester using Intel 8086 Microprocessor to display the hFE value of NPN transistors.

icl-task-diversity icon icl-task-diversity

Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"

ignite icon ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

java-1 icon java-1

All Algorithms implemented in Java

kaldi icon kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

kedro icon kedro

A Python framework for creating reproducible, maintainable and modular data science code.

mlrc_2021 icon mlrc_2021

Editorial venue for ML Reproducibility Challenge Accepted papers

prodlda-pytorch-python3 icon prodlda-pytorch-python3

This is the python3 version of the pytorch ProdLDA implemented here: https://github.com/hyqneuron/pytorch-avitm

project-euler icon project-euler

An interactive application written in Java to solve a given problem (out of solved batch) of Project Euler (https://projecteuler.net/) based on user's choice.

pytorch-studiogan icon pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

refinedet icon refinedet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

transformerlens icon transformerlens

A library for mechanistic interpretability of GPT-style language models

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