mjdietzx/SimGAN
quality grade D, 38 out of 100Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
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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
2,672 results
Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training
通用深度学习推理工具,可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。
FedScale is a scalable and extensible open-source federated learning (FL) platform.
R2CNN: Rotational Region CNN Based on FPN (Tensorflow)
🤖 Deep Reinforcement Learning Chatbot
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
Char-RNN implemented using TensorFlow.
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Reimplementation of GANs
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
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Sparse Blocks Networks
Understanding emotions from audio files using neural networks and multiple datasets.
This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. Recently updated to work on Python 3.4+ and Keras 2+
A wizard's guide to Adversarial Autoencoders
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
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