calmiLovesAI's repositories
Basic_CNNs_TensorFlow2
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
TensorFlow2.0_ResNet
A ResNet(ResNet18, ResNet34, ResNet50, ResNet101, ResNet152) implementation using TensorFlow-2.0.
YOLOv3_TensorFlow2
基于TensorFlow2.x实现的YOLOv3，支持在自定义数据集上训练，支持保存为TFLite模型。A tensorflow2 implementation of YOLO_V3(Supports training on custom dataset and saving as tflite models.).
TensorFlow2.0_SSD
A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .
TensorFlow2.0_Image_Classification
A TensorFlow_2.0 implementation of AlexNet and VGGNet.
MobileNetV3_TensorFlow2
A tensorflow2 implementation of MobileNet-V3.
EfficientNet_TensorFlow2
A tensorflow2 implementation of EfficientNet.
TensorFlow2.0_InceptionV3
A TensorFlow_2.0 implementation of InceptionV3.
CenterNet_TensorFlow2
A tensorflow2.x implementation of CenterNet.
ResNeXt_TensorFlow2
A tensorflow2 implementation of ResNeXt(ResNeXt50, ResNeXt101).
InceptionV4_TensorFlow2
A tensorflow2 implementation of Inception_V4, Inception_ResNet_V1 and Inception_ResNet_V2.
HRNet_Pose_Estimation_TensorFlow2
A tensorflow2 implementation of HRNet for human pose estimation.
EfficientDet_TensorFlow2
A tensorflow2.x implementation of EfficientDet: Scalable and Efficient Object Detection.
DenseNet_TensorFlow2
A tensorflow2 implementation of DenseNet (including DenseNet121, DenseNet169, DenseNet201, DenseNet269).
YOLOv4_PyTorch
A PyTorch implementation of YOLOv4.
CRNN_TensorFlow2
A tensorflow2 implementation of CRNN(Convolutional Recurrent Neural Network).
PyTorch_Object_Detection
SkeNetch is a deep learning tool based on PyTorch.
My_Leetcode_Solutions
LeetCode solutions in Python, JavaScript and so on.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
LeetCode_v2021
LeetCode上面算法题的Python题解，从2021年9月开始。
Pose_Estimation
Some pose estimation algorithms.
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
video_frame_process
This project is used to process each frame of a short video.