Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
deep_learning_tutorials
deep learning: theory + practice
pytorch-cnn-finetune
Fine-tune pretrained Convolutional Neural Networks with PyTorch
dlwin
GPU-accelerated Deep Learning on Windows 10 native
tfoptflow
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
tfvos
Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Cha...
tfwss
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
OC_SORT
[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
machine-learning-curriculum
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list