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Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (…
[CVPR'24 Highlight] SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Bitalostored is a high-performance distributed storage system, core engine based on bitalosdb(self-developed), compatible with Redis protocol.
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Models
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
An authorization library that supports access control models like ACL, RBAC, ABAC in Golang: https://discord.gg/S5UjpzGZjN
An elegant PyTorch deep reinforcement learning library.
The next generation deep reinforcement learning tookit
End-to-end learning of deep visual representations for image retrieval
(Open Source) Computer Vision + Deep Learning + League of Legends
a module for 3D semantic segmentation in point clouds.
Fully Convlutional Neural Networks for state-of-the-art time series classification
Efficient vision foundation models for high-resolution generation and perception.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
PyTorch for Semantic Segmentation
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
Interact with your documents using the power of GPT, 100% privately, no data leaks
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
Deep Learning toolkit for Computer Vision.
Understanding Convolution for Semantic Segmentation
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning