fengyunliu's repositories
apollo
An open autonomous driving platform
awesome-radar-perception
A curated list of radar datasets, detection, tracking and fusion
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
BEVDet
Official code base of the BEVDet series .
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
DALL-E
PyTorch package for the discrete VAE used for DALL·E.
DeepLearing-Interview-Awesome-2024
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
detr
End-to-End Object Detection with Transformers
Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
DN-DETR
[CVPR 2022 Oral] Official implementation of DN-DETR
faster-rcnn-pytorch
这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。
GHOST
Repository for Simple Cues Lead to a Strong Multi-Object Tracker
lift-splat-shoot
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
mmdetection
OpenMMLab Detection Toolbox and Benchmark
MOTRv2
[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
RT-DETR
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
stable-diffusion
A latent text-to-image diffusion model
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
the-gan-zoo
A list of all named GANs!
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
virgoo_dezero
该项目为本人学习《深度学习入门2：自制框架》所编写的代码。由于时间的限制，只包含了step53之前的代码，并且所有代码都可以直接运行。这本书写得非常好，深入地剖析了深度学习框架的底层。并且语法和PyTorch十分相似，完全可以作为PyTorch的入门书籍
yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information