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Deep Tutorials for PyTorch
This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.
image-captioning sequence-labeling object-detection text-classification
DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection panoptic-segmentation transformers computer-vision
VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
convolutional-neural-networks transformers coco visual-representations
Model Serving using FastAPI and Streamlit
Simple example of usage of streamlit and FastAPI for ML model serving.
fastapi streamlit deeplabv3 semantic-segmentation
AI Basketball Analysis
🏀 AI web app and API to analyze basketball shots and shooting pose.
pose-estimation sports basketball api
How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
pytorch python deep-learning computer-vision
AutoGOAL
A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
The Illustrated Self-Supervised Learning
A visual introduction to self-supervised learning methods in Computer Vision
self-supervised-learning computer-vision illustrated tutorial
Deep Learning for Computer Vision
Special topics class on deep learning for computer vision from the University of Michigan taught by Justin Johnson.
computer-vision deep-learning course video
Advanced Deep Learning for Computer Vision (ADL4CV)
The Visual Computing Group offers a variety of lectures and seminars on a regular basis, covering hot areas in computer graphics, vision, and machine ...
computer-vision course deep-learning tutorial
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