Pinned Repositories
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
adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
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.
IndicXNLI
Code Repository for the IndicXNLI paper.
Reddit-Flair-Detector
This repository consists of all the python notebooks and source code used to build: https://flair-detector.herokuapp.com/
divyanshuaggarwal's Repositories
divyanshuaggarwal/IndicXNLI
Code Repository for the IndicXNLI paper.
divyanshuaggarwal/Reddit-Flair-Detector
This repository consists of all the python notebooks and source code used to build: https://flair-detector.herokuapp.com/
divyanshuaggarwal/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.
divyanshuaggarwal/ACM-ICPC-Algorithms
Algorithms used in Competitive Programming
divyanshuaggarwal/adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
divyanshuaggarwal/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! 😀)
divyanshuaggarwal/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
divyanshuaggarwal/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
divyanshuaggarwal/Brain-Tumor-Detector-Streamlit
https://brain-tumor-detector-streamlit.herokuapp.com/
divyanshuaggarwal/deeplearning-models
A collection of various deep learning architectures, models, and tips
divyanshuaggarwal/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
divyanshuaggarwal/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
divyanshuaggarwal/divyanshuaggarwal.github.io
Just a plain, simple and elegant one-page theme for research/academia.
divyanshuaggarwal/FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.
divyanshuaggarwal/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
divyanshuaggarwal/GRE_PREP
This is a guide for how one can prepare for GRE within a month's duration.
divyanshuaggarwal/IE-SemParse
Code for Evaluating Inter-Bilingual Semantic Parsing for Indian Languages Paper at NLP4ConvAI at ACL 2023
divyanshuaggarwal/imodelsX
Library to explain *a dataset* using natural language and neural networks.
divyanshuaggarwal/indicTrans
Scripts for indicTranslate - Machine Translation for Indian languages
divyanshuaggarwal/jekyll-cayman-theme
A Jekyll theme for the responsive theme for GitHub Pages http://jasonlong.github.io/cayman-theme/
divyanshuaggarwal/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
divyanshuaggarwal/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
divyanshuaggarwal/MLProjects
divyanshuaggarwal/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.
divyanshuaggarwal/NLP-research-papers
This repository contains landmark research papers in Natural Language Processing that came out in this century.
divyanshuaggarwal/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/
divyanshuaggarwal/pytorch-lightning-transformers-seq2seq
Template for a seq2seq model using pytorch-lightning and huggingface/transformers
divyanshuaggarwal/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
divyanshuaggarwal/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.