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NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A modular graph-based Retrieval-Augmented Generation (RAG) system
Download market data from Yahoo! Finance's API
A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
A collection of machine learning examples and tutorials.
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pytorch framework for doing deep learning on point clouds.
PyTorch implementation of Pointnet2/Pointnet++
Pytorch Lightning code guideline for conferences
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…
[ArXiv' 24] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)
A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
This package, developed as part of our research detailed in the Chroma Technical Report, provides tools for text chunking and evaluation. It allows users to compare different chunking methods and i…
StarCraft: BroodWars OpenAI Gym environment
[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
harveyphm / gym-starcraft
Forked from apsdehal/gym-starcraftStarCraft: BroodWars OpenAI Gym environment