thiagortk's Stars
tensorflow/models
Models and examples built with TensorFlow
abhisheknaiidu/awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile which updates in real time
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
wkentaro/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
PINTO0309/PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
cruise-automation/webviz
web-based visualization libraries
WisconsinAIVision/MixNMatch
Pytorch implementation of MixNMatch
terryky/tfjs_webgl_app
Realtime TensorFlow.js + WebGL visualization apps. 3D Hand pose estimation, 3D Human pose estimation, Face swap, Depth estimation, Higher accuracy face detection.
I2RDL2/ASTAR-3D
An Autonomous Driving Dataset from I2R, A*STAR
jefmenegazzo/mpu-i2c-drivers-python
I2C Drivers for MPU-9250, MPU-9255, MPU-9150, MPU-6500, MPU-6555, and MPU-6050
jefmenegazzo/Intelligent-Vehicle-Perception-Based-on-Inertial-Sensing-and-Artificial-Intelligence
Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence
alexishuf/ufsc-thesis-rn46-2019
Template for theses (from undergrad to PhD) according to UFSC regulations
MoonBlvd/fvl-ICRA2019
Official code for future vehicle localization paper implemented in Keras
jefmenegazzo/Artificial-Intelligence-Methods-and-Techniques
Artificial Intelligence Methods and Techniques Examples in Python (Jupyter Notebooks)
KeremTurgutlu/experimental
avgupta456/medium_nlp
✍️ Examples for my Medium article: Natural Language Processing (NLP): Don't Reinvent the Wheel!