ehtasham's Stars
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
r0f1/datascience
Curated list of Python resources for data science.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
alexeygrigorev/data-science-interviews
Data science interview questions and answers
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
AkashSingh3031/The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
datawithdanny/sql-masterclass
allenai/scitldr
graph4ai/graph4nlp_literature
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
graph4ai/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
fastapi/sqlmodel
SQL databases in Python, designed for simplicity, compatibility, and robustness.
ml874/Data-Science-Cheatsheet
ivan-bilan/The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
tebelorg/RPA-Python
Python package for doing RPA
pengbaolin/soloist
EleutherAI/gpt-neo
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
TheAlgorithms/Python
All Algorithms implemented in Python
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
sdmg15/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
deepset-ai/haystack
:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
makcedward/nlpaug
Data augmentation for NLP
ramsrigouthamg/Questgen.ai
Question generation using state-of-the-art Natural Language Processing algorithms
huggingface/autotrain-advanced
🤗 AutoTrain Advanced
hutchida/Asana2CSV
Exporting Asana tasks using the API to CSV format
openai/image-gpt
chiphuyen/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Machine-Learning-Tokyo/seq2seq_bot
Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale