dheeraj141 Goto Github PK

age_detection_indian_actors-

algorithm_design_manual_solutions

Algorithm design Manual Book Solutions

amazon-dynamo-implementation

binary_search_questions

Binary search coding questions

birdnest_fraud_detection_replication

This contains an instance of bird nest on amazon data set to detect the top 500 fraud users

cache-simulator

This is a cache simulator written in C which takes as input the memory trace file.

computer-vision-udacity-810-problem-sets

Computer Vision CS ( 6476)

copersim

The FPGA emulator for Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads

cryptography

Different ciphers and their decryption

cs7641

Machine Learning

dheeraj141.github.io

Portfolio

dheeraj_ramchandani

Portfolio

fake_review_detection

fbtt-embedding

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

file-compression-service

fpga-recommendation-accelerator

MLSys 2021 paper: MicroRec: efficient recommendation inference by hardware and data structure solutions

hbm

Files used in thesis on HBM

human-activity-recoginition-using-smartphone-data

This repository contains the human activity recognition dataset and its analysis

inequity-release

Code to accompany 2019 paper.

ios_app_development

leetcode-problems-implementation-

Implementation of leetcode problems in C++

lrvm_implementation-cs-6210

Implementation of light weight recoverable memory.

machine_learning_robotics

Machine learning for robotics

materials

Bonus materials, exercises, and example projects for our Python tutorials

mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

nltk-tutorial-

project4_cs6210_key_value_store

Implementation of amazon dynamo system

recommendersystems

simple-rnn

spector-hls

Contains FPGA benchmarks for Vivado HLS and Catapult HLS