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📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Machine Learning algorithm implementations from scratch.
🔥Highlighting the top ML papers every week.
[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
A collection of resources and papers on Diffusion Models
Papers & presentation materials from Hugging Face's internal science day
The guide to online assessments and interviews
🤘 awesome-semantic-segmentation
Paper Lists for Graph Neural Networks
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Detects when CPU/GPU is idle and sends a notification to phone
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
The official PyTorch implementation of img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation - CVPR 2021
Image augmentation for machine learning experiments.
Contains screenshots of all the slides of Andrew Brown's AWS Course
Build ML pipelines for Computer Vision, NLP and Graph Neural Networks using Triton Server.