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Carnegie Mellon University
- Pittsburgh, Pennslyvania
- https://www.linkedin.com/in/ayushpareek/
Stars
Searches your emails for flight tickets & displays a summary with all flight details
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Models and examples built with TensorFlow
Feel free to fine tune large BERT models with Multi-GPU and FP16 support.
Unbiased Learning To Rank Algorithms (ULTRA)
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
Graph of words (Networkx) and keywords extraction (Ktruss, Kcore, DivRank, BestCoverage)
Scrapy, a fast high-level web crawling & scraping framework for Python.
๐ ๐ ๐ TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).
SearchBetter: query rewriting for search engines on small corpuses (Harvard research project)
State-of-the-Art Text Embeddings
๐ List of Udacity Nanodegree programs with links to the free courses in their curricula
The official repository for our programming kitchen which consists of 50+ delicious programming recipes having all the interesting ingredients ranging from dynamic programming, graph theory, linkedโฆ
Questions to ask the company during your interview
Interview Preparation material for Senior Software Engineer - Android role
This is the Programming Interview Study Plan by Siraj Raval on Youtube
Everything you need to know to get the job.
Machine Learning Yearning book by
Code examples for CMU CS11-731, Machine Translation and Sequence-to-sequence Models
๐ A curated list of resources dedicated to Natural Language Processing (NLP)
Keep track of internships for Summer 2020 for undergraduates interested in tech./SWE/related fields
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
A collection of internship applications in a fancy excel-like website
US immigration FAQ with a focus on the tech industry