YunYang1994/TensorFlow2.0-Examples
quality grade D, 39 out of 100🙄 Difficult algorithm, Simple code.
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
🙄 Difficult algorithm, Simple code.
AI on Hadoop
License Plate Detection and Recognition in Unconstrained Scenarios
Speedy Wavenet generation using dynamic programming :zap:
Try out deep learning models online on Google Colab
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
The deeplearning algorithms implemented by tensorflow
1st place solution
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Provide an input CSV and a target field to predict, generate a model + code to run it.
TensorFlow template application for deep learning
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Generic U-Net Tensorflow implementation for image segmentation
TinyML AI inference library
Deep Learning model to analyze a large corpus of clear text passwords.
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
Deep Learning Chinese Word Segment
A toolkit for reproducible reinforcement learning research.
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Gin provides a lightweight configuration framework for Python
Text to image synthesis using thought vectors
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
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