yuesun101's Stars
Stanford-TML/PDP
Official code for PDP
NeoVand/OllamaSQL
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
HumanCompatibleAI/imitation
Clean PyTorch implementations of imitation and reward learning algorithms
datawhalechina/easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
PacktPublishing/Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
KoljaB/RealtimeSTT
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
Xiaoyao-Li/Ag2Manip
Code Repository for "Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations"
clvrai/coordination
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
iampawan/FlutterExampleApps
[Example APPS] Basic Flutter apps, for flutter devs.
jinh0park/Autoencoders-tf2.0
TensorFlow 2.0 implementations of various autoencoders.
pluxbiosignals/python-samples
Python programming examples using PLUX's API.
sayannath/ConvMixer-TensorFlow
Implementation of ConvMixer-Patches Are All You Need? in TensorFlow and Keras
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
tsing-cv/EfficientNet-tensorflow-eager
reimplement efficientnet use tf.keras tf2.0
monatis/mobilenetv2-tf2
A reusable TensorFlow 2.0 and Keras implementation of MobileNetV2
xindongzhang/MNN-APPLICATIONS
MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.
labuladong/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
yfeng95/GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
tqchen/mxnet-gan
MultiGPU enabled image generative models (GAN and DCGAN)
bowenc0221/MXNet-GAN
MXNet Implementation of DCGAN, Conditional GAN, pix2pix
aleju/imgaug
Image augmentation for machine learning experiments.
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
google/brain-tokyo-workshop
🧠🗼
oscarknagg/few-shot
Repository for few-shot learning machine learning projects