Yangning-k

Yangning-k

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Yangning-k's repositories

habitat-lab-ROS

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

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Deep-Reinforcement-Learning-Hands-On-Second-Edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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conv_arithmetic

卷积与解卷积示意图

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Yangning-k

Config files for my GitHub profile.

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Pytorch-framework-predicts-temperature

PyTorch构建神经网络预测气温(数据集对比,CPU与GPU对比)

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awesome-rgbd-datasets

This repository contains information for the paper "A Survey on RGB-D Datasets" and is a collaborative initiative to update the datasets list faster.

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RGB-D

Multi-View Stereo based on deep learning. | Learning notes, codes and more

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ION

This is the project of Instance Object Navigation for ACM MultiMedia 21

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MachineLearning

Basic Machine Learning and Deep Learning

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liujianping

My blogs and code for machine learning. http://cnblogs.com/pinard

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nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

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DQN_2015_codes

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

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