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S-LoRA: Serving Thousands of Concurrent LoRA Adapters
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
Official inference library for Mistral models
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.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…
Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Inverse DALL-E for Optical Character Recognition
PyContinual (An Easy and Extendible Framework for Continual Learning)
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Notebooks using the Hugging Face libraries 🤗
A library for training and deploying machine learning models on Amazon SageMaker
Pytorch domain library for recommendation systems
A collection of SOTA Image Classification Models in PyTorch
Implementation of the Swin Transformer in PyTorch.
👦 👧 Technical-Interview guidelines written for those who started studying programming. I wish you all the best. 👾