resnet topic
pytorch-tutorials
🤖 | Learning PyTorch through official examples
ConvNets-TensorFlow2
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
SimCLRv2-Pytorch
Pretrained SimCLRv2 models in Pytorch
HyperNetworks
PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
video_features
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
CoreML-samples
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
car-detection-model-prediction
tensorbag
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.