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.
tfts: Time series deep learning models in TensorFlow
Source code of Valve Anti-Cheat obtained from disassembly of compiled modules
Train a state-of-the-art yolov3 object detector from scratch!
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
A modern customization framework for Team Fortress 2
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
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
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