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
tfts: Time Series Deep Learning Models in TensorFlow
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Source code of Valve Anti-Cheat obtained from disassembly of compiled modules
Source 1 based games such as TF2 and Counter-Strike: Source
A modern customization framework for Team Fortress 2
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Train a state-of-the-art yolov3 object detector from scratch!
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
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
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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