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A one stop repository for generative AI research updates, interview resources, notebooks and much more!
OpenVINOโข is an open-source toolkit for optimizing and deploying AI inference
Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
LaTeX package and annotated examples for annotating equations using TikZ.
A system to flag anomalous source code expressions by learning typical expressions from training data
Implementation of paper Bandpass Filter Based Dual-stream Network for Face Anti-spoofing (3rd FAS CVPR2023)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
๐ Guides, papers, lecture, notebooks and resources for prompt engineering
Run your code in the cloud, with technology so advanced, it feels like magic!
๐ Collection of Kaggle Solutions and Ideas ๐
Continual Learning papers list, curated by ContinualAI
Wrapped some popular deep learning models with C++
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Latex code for making neural networks diagrams
Algorithms for explaining machine learning models
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT ๐
List of papers, code and experiments using deep learning for time series forecasting
CVPR ่ฎบๆๆถ้๏ผๅ ๅซไฝไธ้ไบ2022ใ2021ใ2020ใ2019ใ2018ใ2017ๆ็ซ
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Roadmap to becoming a data engineer in 2021
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-่ฟ็งปๅญฆไน