nurakib's Stars
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
ml5js/ml5-library
Friendly machine learning for the web! 🤖
amitness/learning
A log of things I'm learning
cs-books/influential-cs-books
Most influential books on Computer Science/programming
graviraja/MLOps-Basics
learntocloud/learn-to-cloud
Learn the fundamentals of cloud computing
jbhuang0604/awesome-tips
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
ShahjalalShohag/code-library
Templates, algorithms and data structures implemented and collected for programming contests.
google/BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
commonsense/conceptnet5
Code for building ConceptNet from raw data.
puncsky/system-design-and-architecture
Learn how to design large-scale systems. Prep for the system design interview.
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
thunlp/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
HarshCasper/NeoAlgo
Bringing all Data Structures and Algorithms under one Roof ⚡
zhijing-jin/nlp-phd-global-equality
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
hplt-project/sacremoses
Python port of Moses tokenizer, truecaser and normalizer
AdicherlaVenkataSai/ml-workspace
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
rishiloyola/SRE-Interviews
Curated list of good SRE interview questions.
brandokoch/attention-is-all-you-need-paper
Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
wenhuchen/HybridQA
Dataset and code for EMNLP2020 paper "HybridQA: A Dataset of Multi-Hop Question Answeringover Tabular and Textual Data"
google-research-datasets/dakshina
The Dakshina dataset is a collection of text in both Latin and native scripts for 12 South Asian languages. For each language, the dataset includes a large collection of native script Wikipedia text, a romanization lexicon of words in the native script with attested romanizations, and some full sentence parallel data in both a native script of the language and the basic Latin alphabet.
tuhinjubcse/CreativeNLG
A Repo to curate all creative NLG papers
prit2596/NLP-Template-Extraction
Template Extraction from unstructured Wikipedia text using NLP techniques.
ej0cl6/TextEE
A standardized, fair, and reproducible benchmark for evaluating event extraction approaches
Rowan1224/FakeNews
sahsaeedi/triple-preference-optimization
sagorbrur/bnaug
Bangla Text Augmentation
suamin/awesome-kg-qaie
Awesome quickstart readings and resources for KGs with applications in QA and IE.