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Python scripts to help ACs with OpenReview
chrjabs / Grape-Academic-Theme
Forked from naye0ng/Grape-Theme🍇 Grape-Academic-Theme: A modified version of the Jekyll Grape-Theme for an academic Portfolio. (Can include a blog)
Official code for the OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation - ACVR Workshop at ECCV'24
[CVPR'24] GraphDreamer: a novel framework of generating compositional 3D scenes from scene graphs.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Official repository for our NeurIPS 2023 paper "Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense" (https://arxiv.org/abs/2303.13408).
Natural Language Processing Tutorial for Deep Learning Researchers
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
Code for "Speaker Clustering using Dominant Sets", ICPR 2018
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
🎓 Sharing machine learning course / lecture notes.
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
Collection of latex templates used for my master's thesis, presentations and assignment reports.
A python library for user-friendly forecasting and anomaly detection on time series.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A curated list of awesome computer vision resources
Instructions for setting up a SLURM cluster using Ubuntu 18.04.3 with GPUs.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PyTorch implementations of Generative Adversarial Networks.
PyTorch implementation of Superpixel Sampling Networks
Must-read papers on graph neural networks (GNN)