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10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

acm-icpc-algorithms

Algorithms used in Competitive Programming

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

awesome-nlp

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

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

brain-tumor-detector-streamlit

https://brain-tumor-detector-streamlit.herokuapp.com/

coding-interview-university

A complete computer science study plan to become a software engineer.

competitive-programming-algorithms

C++ Implementation of several frequently used Algorithms and Data Structures (ACM-ICPC Notebook)

data-science--cheat-sheet

Cheat Sheets

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

divyanshuaggarwal

divyanshuaggarwal.github.io

Just a plain, simple and elegant one-page theme for research/academia.

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

gre_prep

This is a guide for how one can prepare for GRE within a month's duration.

ie-semparse

Code for Evaluating Inter-Bilingual Semantic Parsing for Indian Languages Paper at NLP4ConvAI at ACL 2023

imodelsx

Library to explain *a dataset* using natural language and neural networks.

indictrans

Scripts for indicTranslate - Machine Translation for Indian languages

indicxnli

Code Repository for the IndicXNLI paper.

jekyll-cayman-theme

A Jekyll theme for the responsive theme for GitHub Pages http://jasonlong.github.io/cayman-theme/

just-another-research-cv

📝 A not-so-fancy but still a pretty research CV :fireworks: :tada:

leetcode-in-python-50-algorithms-coding-interview-questions

Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy

mlops-specialization-notes

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

mlprojects

nlp-progress

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.

nlp-research-papers

This repository contains landmark research papers in Natural Language Processing that came out in this century.

practical-drl

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

pytorch-lightning-transformers-seq2seq

Template for a seq2seq model using pytorch-lightning and huggingface/transformers