[UNMAINTAINED] Automated machine learning for analytics & production
- machine-learning
- data-science
- automated-machine-learning
- gradient-boosting
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[UNMAINTAINED] Automated machine learning for analytics & production
Pre-Trained Chinese XLNet(中文XLNet预训练模型)
General code to convert a trained keras model into an inference tensorflow model
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Hyperparameter Experiments with TensorFlow and Keras
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Model analysis tools for TensorFlow
Library for Fast and Flexible Human Pose Estimation
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
learn code with tensorflow
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.
Scalable, event-driven, deep-learning-friendly backtesting library
Pretrained model hub for Keras 3.
High level network definitions with pre-trained weights in TensorFlow
kapre: Keras Audio Preprocessors
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
PyTorch to Keras model convertor
Chatbot in 200 lines of code using TensorLayer
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
in progress
Library for exploring and validating machine learning data