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🔗 Some useful websites for programmers.
DSPy: The framework for programming—not prompting—foundation models
Short code snippets for all your development needs
Learn how to design systems at scale and prepare for system design interviews
Everything you need to know to get the job.
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Slides, notes, and materials for the workshop
lsying009 / CISTA-EVREAL
Forked from ercanburak/EVREALCISTA-EVREAL: EVREAL with the family of CISTA networks for Event-based Video Reconstruction
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
CVNets: A library for training computer vision networks
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
A curated list of awesome responsible machine learning resources.
(TPAMI 2024) A Survey on Open Vocabulary Learning
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
Awesome Video Models including video retrieval, foundation models, etc..
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols
You like pytorch? You like micrograd? You love tinygrad! ❤️
A unified framework for event-based video. Encoder/transcoder/decoder for ADΔER (Address, Decimation, Δt Event Representation) video streams.
[CVPR-2024] The First High Definition (HD) Event based Visual Object Tracking Benchmark Dataset
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
neuromorphic sensor integration with YARP and iCub