jamesz101ece Goto Github PK

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-radar-camera-fusion

Radar Camera Fusion in Autonomous Driving

differential-privacy-based-federated-learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

digital-twin-in-python

In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.

distributeddiffusion

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

federated-learning-with-differential-privacy

Implementation of dp-based federated learning framework using PyTorch

gfm

improved-dp-sgd

Improved DP-SGD for optimizing

intro-to-computation-and-programming

Introduction to Computation and Programming Using Python

llama

Inference code for LLaMA models

mathworks-excellence-in-innovation

Capstone and senior design project ideas for undergraduate and graduate students to gain practical experience and insight into technology trends and industry directions.

openai-cartpole

random search, hill climbing, policy gradient

paillier-gmpy2

A Python Library for Paillier Encryption using GMPY2 for arithmetic operations

papersreimplementations

Personal short implementations of Machine Learning papers

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

ppo-for-beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

python-paillier

A library for Partially Homomorphic Encryption in Python

pyvacy

Differentially Private Optimization for PyTorch 👁🙅‍♀️

quadrupedproject

Repository for the cad/code for my quadruped project

quantum-machinel-leaning

Classification Algorithm using Circuit-Centric Quantum Classifiers with IBM qiskit library.

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

smartloc

textbook

Source content for the Qiskit Textbook

the-art-of-linear-algebra

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

tutorials

PyTorch tutorials.

underactuated

The course text for MIT 6.832 (and 6.832x on edX)

ustc-gpt