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beauvoir

Domain randomization library in Python for object detection and classification using Blender.

bisenet

Add bisenetv2. My implementation of BiSeNet

bmw-yolov4-training-automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

c2c

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

cam

Class Activation Mapping

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

cancer-detector

Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification[arXiv:1504.07947] https://arxiv.org/abs/1504.07947

canopy

Canopy is a machine learning learning compiler stack with the capability of adopting high-end FPGAs. As a part of OpenAIOS project, Canopy is an evolved version of Apache TVM. Canopy is able to support a variety of hardware backends such as PCIE-based cloud FPGAs, CPUs and GPUs.

causaltree

Working repository for Causal Tree and extensions

cbir

Large-scale image retrival by deep learning(基于深度学习的大规模图像检索)

code-of-csdn

csdn上面的一些相关代码

cogqa

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

companion

conta

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

contrastive_learning_codes

A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam

coralseg-learning-coral-segmentation-from-sparse-annotations

CoralSeg: Learning coral segmentation from sparse annotations

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cyclegan_handwriting

Generate handwriting sentences using Deep learning

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

dd-genomics

The Genomics DeepDive project

ddmp-3d

[CVPR2021] Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection.

deblurgan

Image Deblurring using Generative Adversarial Networks

deceived

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

decoupled-style-descriptors

Code and data for ECCV 2020 paper Generating Handwriting via Decoupled Style Descriptors

deep-fashion-retrieval

Simple image retrival on deep-fashion dataset with pytorch - A course project

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep3d

Automatic 2D-to-3D Video Conversion with CNNs