Label-Representative Graph Convolutional Network for Multi-Label Text Classification

High quality resources & applications for LLMs, multi-modal models and VectorDBs

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Awesome Incremental Learning

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Projects and useful articles / links

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

A curated list of awesome Deep Learning tutorials, projects and communities.

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

A repository to curate and summarise research papers related to fashion and e-commerce

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Implementations of few-shot object detection benchmarks

A collection of various deep learning architectures, models, and tips

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

a Deep Learning Framework for Text https://delft.readthedocs.io/

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolutio…

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.