Zhenhan-Huang
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Implementation of papers in 100 lines of code.
Easily compute clip embeddings and build a clip retrieval system with them
High-Resolution Image Synthesis with Latent Diffusion Models
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
LibCity: An Open Library for Urban Spatial-temporal Data Mining
A pytorch adversarial library for attack and defense methods on images and graphs
Summary of open source code for deep learning models in the field of traffic prediction
An end-to-end PyTorch framework for image and video classification
Graph Neural Network Library for PyTorch
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
On Network Design Spaces for Visual Recognition
Generative Agents: Interactive Simulacra of Human Behavior
A collection of AWESOME things about Graph-Related LLMs.
[CVPR 2023] DepGraph: Towards Any Structural Pruning
Official Code for DragGAN (SIGGRAPH 2023)
An annotated implementation of the Transformer paper.
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic p…
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"