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High-resolution models for human tasks.
Most popular metrics used to evaluate object detection algorithms.
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
An extension of YOLOv5 to non-natural images together with 5-Fold Cross-Validation
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
A playbook for systematically maximizing the performance of deep learning models.
Hydra is a framework for elegantly configuring complex applications
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
The official repository to build SAT-DS, a medical data collection of 72 public segmentation datasets, contains over 22K 3D images, 302K segmentation masks and 497 classes from 3 different modaliti…
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Kurtlab's code for BraTS 2023 submission
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
🎧 Open source Spotify client that doesn't require Premium nor uses Electron! Available for both desktop & mobile!
Adding guardrails to large language models.
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Wayback Machine API interface & a command-line tool
💩State-of-the-art shitcode principles your project should follow to call it a proper shitcode