mwazzeh's Stars
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
google-research/google-research
Google Research
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
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.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
zziz/pwc
This repository is no longer maintained.
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
budtmo/docker-android
Android in docker solution with noVNC supported and video recording
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
FedML-AI/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.
chaoyanghe/Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
TsingZ0/PFLlib
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/
TalwalkarLab/leaf
Leaf: A Benchmark for Federated Settings
google-research/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
litian96/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
terryum/TensorFlow_Exercises
The codes I made while I practiced various TensorFlow examples
HarryVolek/PyTorch_Speaker_Verification
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
Xtra-Computing/NIID-Bench
Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
LeBron-Jian/MachineLearningNote
cydonia999/VGGFace2-pytorch
PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'
AdrianNunez/Fall-Detection-with-CNNs-and-Optical-Flow
Repository containing the material required to reproduce the results of the paper "Vision-Based Fall Detection with Convolutional Neural Networks"
WillKoehrsen/pytorch_challenge
ani8897/Human-Activity-Recognition
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
servomac/Human-Activity-Recognition
Use a LSTM network to predict human activities from sensor signals collected from a smartphone
ethancaballero/gait-cycle-transfer
neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576
jtirana98/SFL-workflow-optimization
xrichmolex/Mobile-Biometrics---Gait-Matching
Gait Recognition using Smartphone Accelerometers