Focus on prompting and generating

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

GPT-3: Language Models are Few-Shot Learners

Models and examples built with TensorFlow

BERT for Multitask Learning

Feel free to fine tune large BERT models with Multi-GPU and FP16 support.

Unbiased Learning To Rank Algorithms (ULTRA)

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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.

😉 🌀 🍓 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)

📖 A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

Convenience packages for data science in Go.

State-of-the-Art Text Embeddings

Code that'll help you kickstart a personal website that showcases your work as a software developer.

🎓 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, linked…

Questions to ask the company during your interview

Interview Preparation material for Senior Software Engineer - Android role

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

Code examples for CMU CS11-731, Machine Translation and Sequence-to-sequence Models

📖 A curated list of resources dedicated to Natural Language Processing (NLP)