BigHorse-AI's Stars
solegalli/feature-selection-in-machine-learning-book
Code repository for the book feature selection in machine learning
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
PacktPublishing/Modern-Computer-Vision-with-PyTorch-2E
Modern Computer Vision with PyTorch, 2E, Published by Packt
SamirPaulb/DSAlgo
📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨💻🎯
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
MemorialCheng/deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》
VipaiLab/Signals-and-Systems-course
浙江大学信电学院2022信号与系统课程资料
VipaiLab/machine-learning-course
浙江大学胡浩基《机器学习》代码
PacktPublishing/Neural-Network-Projects-with-Python
Neural Network Projects with Python, Published by Packt
PacktPublishing/Hands-On-Transfer-Learning-with-Python
Hands On Transfer Learning with Python, published by Packt
PacktPublishing/Hands-On-Meta-Learning-with-Python
Hands-On Meta Learning with Python
PacktPublishing/Applied-Machine-Learning-Explainability-Techniques
Applied Machine Learning Explainability Techniques, published by Packt
wang-fujin/SOHbenchmark
A code library and benchmark study on SOH estimation of lithium-ion battery
wang-fujin/PINN4SOH
A physics-informed neural network for battery SOH estimation
mengjizhiyou/pytorch_model
wirte simple models by pytorch,such as lstm/gru/bilstm
Baichenjia/Tensorflow-TCN
Tensorflow eager implementation of Temporal Convolutional Network (TCN)
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Xiaohan-Chen/bear_fault_diagnosis
Bearing fault diagnosis model based on MCNN-LSTM
PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
PacktPublishing/Reinforcement-Learning-Algorithms-with-Python
Reinforcement Learning Algorithms with Python, Published by Packt
PacktPublishing/Advanced-Deep-Learning-with-Python
Advanced Deep Learning with Python by Packt Publishing
PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
sudharsan13296/Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
PacktPublishing/Deep-Learning-for-Time-Series-Data-Cookbook
B21145 - Deep Learning for Time Series Data Cookbook
fyancy/SSMN
The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.