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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
PyTorch Tutorial for Deep Learning Researchers
Datasets, Transforms and Models specific to Computer Vision
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A faster pytorch implementation of faster r-cnn
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
OpenMMLab's next-generation platform for general 3D object detection.
Machine Learning Pipelines for Kubeflow
pytorch tutorial for beginners
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
2023南京大学计算机科学与技术845考研公共课和专业课资料：数学一、英语一、政治、数据结构、计算机网络、计算机系统基础、操作系统教程、算法设计与分析-包括真题、期末考试、PPT、模拟题、专业课参考书及课后答案、报录比、经验等等
The devkit of the nuScenes dataset.
Collection of common code that's shared among different research projects in FAIR computer vision team.
Implementation of Convolutional LSTM in PyTorch.
3D visualization of scientific data in Python
Code for 3D object detection for autonomous driving
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
Cancer metastasis detection with neural conditional random field (NCRF)
The repository containing tools and information about the WoodScape dataset.
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
Differentiable IoU of rotated bounding boxes using Pytorch
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
Simple implementation of mean shift clustering in python
Open source implementation of "A Self-Supervised Descriptor for Image Copy Detection" (SSCD).