Efficient Dl Systems
mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
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Results: 27
mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
chemprop
Message Passing Neural Networks for Molecule Property Prediction
mapbox
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
poloclub
Learning Convolutional Neural Networks with Interactive Visualization.
tyiannak
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
humphd
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
rasbt
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
lucidrains
Reformer, the efficient Transformer, in Pytorch
Oneflow-Inc
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
jeshraghian
Deep and online learning with spiking neural networks in Python
huggingface
✨Fast Coreference Resolution in spaCy with Neural Networks
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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