yashpatel024's Stars
24pullrequests/24pullrequests
:christmas_tree: Giving back to open source for the holidays
openai/openai-cookbook
Examples and guides for using the OpenAI API
rafatkab/UJourney
sanidhyy/next-portfolio
Modern & Minimalist Next.js Portfolio.
kananinirav/AWS-Certified-Cloud-Practitioner-Notes
AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI π https://microsoft.github.io/generative-ai-for-beginners/
stackshareio/awesome-stacks
A curated list of tech stacks for building different applications & features
meghpatel/table-bot
Question Answering System for Table
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
mayankShiroya/For-Projects
coding-horror/basic-computer-games
An updated version of the classic "Basic Computer Games" book, with well-written examples in a variety of common MEMORY SAFE, SCRIPTING programming languages. See https://coding-horror.github.io/basic-computer-games/
lyhue1991/eat_tensorflow2_in_30_days
Tensorflow2.0 ππ is delicious, just eat it! ππ
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
jim-schwoebel/voicebook
π£οΈ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
CODEJIN/multi_speaker_tts
Implementation of Multi speaker TTS
huggingface/transformers
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-research/bert
TensorFlow code and pre-trained models for BERT
Anwarvic/Cracking-The-Coding-Interview-Problems
This is my solution to "cracking the coding interview" problems in Python
kiteco/kite-python-blog-post-code
Code snippets from Kite blog posts
google-research/tapas
End-to-end neural table-text understanding models.
openai/jukebox
Code for the paper "Jukebox: A Generative Model for Music"
miteshksingh/ML-Resources
This repo contains links to some excellent articles, images, videos and blogposts which I stumble upon during my research.
hannandarryl/ManyModalQA
Code and Data for ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions
HBAM: Hierarchical Bi-directional Word Attention Model
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
SE-ML/awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
teivah/algodeck
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews π―
vinhkhuc/TensorFlow2-Mini-Tutorials
Compact Tutorials for TensorFlow2
erhwenkuo/deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
wikibook/nodejs-microservices
γμ€μ ! Node.js λ§μ΄ν¬λ‘μλΉμ€ κ°λ°γ μμ μ½λ