Lists (12)
Stars
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
✨✨Latest Advances on Multimodal Large Language Models
A curated list of papers & resources linked to 3D reconstruction from images.
Unsupervised single image depth prediction with CNNs
A website that targets developers who want to contribute to open source software but do not know where or how to start.
A list of awesome beginners-friendly projects.
Coloring black and white images with deep learning.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
🐜🐀🐒🚶 A toolkit for robust markerless 3D pose estimation
📙 Amazon Web Services — a practical guide
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Deep learning for recommender systems
What I use to learn everything from figure drawing to computer vision
A toolbox to iNNvestigate neural networks' predictions!
A curated list of awesome adversarial machine learning resources
A curated list of awesome self-supervised methods
A PyTorch implementation of Rainbow DQN agent
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.