Pinned Repositories
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, ... 🧠
arena-sim-to-real
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.
conv_arithmetic
卷积与解卷积示意图
Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
deep_active_vision
DeepLearning
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.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
Yangning-k
Config files for my GitHub profile.
Yangning-k's Repositories
Yangning-k/Yangning-k
Config files for my GitHub profile.
Yangning-k/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, ... 🧠
Yangning-k/arena-sim-to-real
Yangning-k/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.
Yangning-k/conv_arithmetic
卷积与解卷积示意图
Yangning-k/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Yangning-k/deep_active_vision
Yangning-k/DeepLearning
Yangning-k/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.
Yangning-k/gym
A toolkit for developing and comparing reinforcement learning algorithms.
Yangning-k/habitat-lab-ROS
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Yangning-k/ION
This is the project of Instance Object Navigation for ACM MultiMedia 21
Yangning-k/labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Yangning-k/liujianping
My blogs and code for machine learning. http://cnblogs.com/pinard
Yangning-k/MachineLearning
Basic Machine Learning and Deep Learning
Yangning-k/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Yangning-k/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)
Yangning-k/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.
Yangning-k/RGB-D
Multi-View Stereo based on deep learning. | Learning notes, codes and more
Yangning-k/ScanNet
Yangning-k/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.