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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Image-to-Image Translation in PyTorch
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
LLM based autonomous agent that does online comprehensive research on any given topic
End-to-End Object Detection with Transformers
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
手写实现李航《统计学习方法》书中全部算法
Universal Radio Hacker: Investigate Wireless Protocols Like A Boss
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
A system for quickly generating training data with weak supervision
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Sequence modeling benchmarks and temporal convolutional networks
Siamese and triplet networks with online pair/triplet mining in PyTorch
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Pytorch implementation of RetinaNet object detection.
A Python toolbox for gaining geometric insights into high-dimensional data