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Leveraging machine learning and multimodal data integration, this project aims to provide an effective solution for personalized nutrition and dietary monitoring.
A challenge for candidates interested in applying to Warp.
Using Multiple approaches of Machine Learning model is 60% accurate
Netlfix Inspired Portfolio
Code from various chapters in OSTEP (http://www.ostep.org)
List of Research Internships for Undergraduate Students
Notes of the book System Desgin Interview - An Insider's Guide
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
This repo is for the Open Protein Instructions (OPI) project, aiming to build and release a high-quality and comprehensive protein instruction dataset with which LLMs can be adapted to protein-rela…
Solving LeetCode problems in the best way. Python, Java, C++, JavaScript, Go, C# and Ruby are supported! Official website👇🏻:
Contains Company Wise Questions sorted based on Frequency and all time
A resource repository for machine unlearning in large language models
Internship and Co-op Jobs List Updated Daily
Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Add breakpoints to CI: pause, access the workflow with SSH, debug and resume.
Machine learning fraud detection system with Flask web interface and NLP feature engineering
AltairCare is a machine learning/deep learning web app for disease diagnosis and prediction
Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.
Collection of Summer 2026 tech internships!
2026 SWE internship & new graduate job list updated daily
This is part of the project for the course CSCE 629-Analysis of Algorithms at Texas A&M University.
This is part of my assignment in CSCE-633 Machine Learning Course.
A collection of full time roles in SWE, Quant, and PM for new grads.