Collect and share your favorite projects made with code.
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TensorFlow implementation of Google’s Tacotron speech synthesis with pre-trained model
TensorFlow implementation of Google’s Tacotron speech synthesis with pre-trained model
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Learn matrix calculus for deep learning
Learn matrix calculus for deep learning
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Chatbots with Machine Learning: Building Neural Conversational Agents
Chatbots with Machine Learning: Building Neural Conversational Agents
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DeepTraffic | MIT 6.S094: Deep Learning for Self-Driving Cars
DeepTraffic | MIT 6.S094: Deep Learning for Self-Driving Cars
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TensorFlow (Python API) implementation of Neural Style
TensorFlow (Python API) implementation of Neural Style
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How-To: Multi-GPU training with Keras, Python, and deep learning
How-To: Multi-GPU training with Keras, Python, and deep learning
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Introduction to reinforcement learning and OpenAI Gym
Introduction to reinforcement learning and OpenAI Gym
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GitHub – mozilla/DeepSpeech: A TensorFlow implementation of Baidu’s DeepSpeech archi ...
GitHub – mozilla/DeepSpeech: A TensorFlow implementation of Baidu’s DeepSpeech architecture
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GitHub – pannous/tensorflow-speech-recognition: ?Speech recognition using the tensorflow d ...
GitHub – pannous/tensorflow-speech-recognition: ?Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
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Text-to-Speech with your own Voice Python Project – YouTube
Text-to-Speech with your own Voice Python Project – YouTube
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GitHub – pannous/tensorflow-speech-recognition: ?Speech recognition using the tensorflow d ...
GitHub – pannous/tensorflow-speech-recognition: ?Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
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Deep Reinforcement Learning: Pong from Pixels
Deep Reinforcement Learning: Pong from Pixels
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RL Course by David Silver – Lecture 1: Introduction to Reinforcement Learning
RL Course by David Silver – Lecture 1: Introduction to Reinforcement Learning
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Deep Learning for Chatbots, Part 1 – Introduction – WildML
Deep Learning for Chatbots, Part 1 – Introduction – WildML
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