Hari-vm-01
ML| AI| Deep Learning| NLP| Statistical Signal Processing & Estimation.... Read Research Papers-> Implement-> Code
Hari-vm-01's Stars
SakanaAI/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Machine-Learning-Tokyo/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
edoliberty/vector-search-class-notes
Class notes for the course "Long Term Memory in AI - Vector Search and Databases" COS 597A @ Princeton Fall 2023
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
huandu/facebook
A Facebook Graph API SDK For Go.
DFKI-NLP/thermostat
Collection of NLP model explanations and accompanying analysis tools
mage-ai/mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
deep-learning-indaba/indaba-pracs-2019
xinrong-meng/knowledge-sharing
Hub for curated insights and resources on software systems and technologies
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
microsoft/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
google-deepmind/clrs
chiphuyen/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
garg-aayush/model-parallelism
Model parallelism for NN architectures with skip connections (eg. ResNets, UNets)
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!
hao-fang/MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
ligz08/learn-bigdata-udemy
ligz08/ml-modeling-checklists
Machine Learning Modeling Checklists
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
pytorch/torchrec
Pytorch domain library for recommendation systems
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
ucbrise/clipper
A low-latency prediction-serving system
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.