YoloV3 Implemented in Tensorflow 2.0
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Interpretability Methods for tf.keras models with Tensorflow 2.x
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Train a state-of-the-art yolov3 object detector from scratch!
Time series deep learning models in TensorFlow-TFTS
Source code of Valve Anti-Cheat obtained from disassembly of compiled modules
A modern customization framework for Team Fortress 2
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Source 1 based games such as TF2 and Counter-Strike: Source
Keras beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,edgenext,efficientformer,efficientnet,fbnet,flexivit,gcvit,ghostnet,gmlp,gpvit,halonet,hornet,iformer,lcnet,levit,maxvit,mlp-mixer,mobilevit,nat,nfnets,pvt,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolov7,yolox
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
yolov3 with mobilenetv2 and efficientnet
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.
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