Liang Zhang's starred repositories
Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
RecurrentJava
Deep Recurrent Neural Nets in Java
custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
llama_index
LlamaIndex is a data framework for your LLM applications
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
continual_learning_papers
Relevant papers in Continual Learning
supervised-reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
NIID-Bench
Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
Federated_Learning_Exploration
Everything about federated learning. Your contribution is highly valued!
non-iid-dataset-for-personalized-federated-learning
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
DRLPytorch
Pytorch for Deep Reinforcement Learning
Problem-Solving-with-Algorithms-and-Data-Structures-using-Python
Code from Problem Solving with Algorithms and Data Structures using Python
cs22-slides-and-py-files
Slides and Python files used in my CS22 videos on youtube
distributedRL
A framework for easy prototyping of distributed reinforcement learning algorithms
meta-learning
meta-learning research
Reinforcement-Implementation
Implementation of benchmark RL algorithms
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
NTU-Machine-learning
**大学李宏毅老师机器学习
leedl-tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases