X-TRON404's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
JushBJJ/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ethereum/EIPs
The Ethereum Improvement Proposal repository
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
ethereum/ethereum-org-website
Ethereum.org is a primary online resource for the Ethereum community.
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
facebookresearch/fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
visual-layer/fastdup
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
krasserm/super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
oscarknagg/few-shot
Repository for few-shot learning machine learning projects
ucbdrive/few-shot-object-detection
Implementations of few-shot object detection benchmarks
yaoyao-liu/meta-transfer-learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
andrewekhalel/sewar
All image quality metrics you need in one package.
pylabel-project/pylabel
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
jetsonhacks/jetsonUtilities
Get information about the NVIDIA Jetson OS environment. Lists L4T and JetPack versions, along with major libraries.
AdrienLE/ANIML
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
icandle/MAN
Multi-scale Attention Network for Single Image Super-Resolution (CVPRW 2024)
nupurkmr9/S2M2_fewshot
WilliamYi96/Awesome-Zero-Shot-Learning
Latest progresses (papers & datasets) of zero-shot learning.
romannurik/rtcfire
A simple WebRTC + Firebase Realtime Database library for multi-user video chat
pohwa065/SRGAN-for-Super-Resolution-and-Image-Enhancement
Super-Resolution Generative Adversarial Networks (SRGAN) is a deep learning application to generate high resolution (HR) images from low resolution (LR) image. In this work, we use SRGAN to up-scale 32x32 images to 128x128 pixels. Meanwhile, we evaluate the impact of different camera parameters on the quality of final up-scaled (high resolution) images and infer from these stimuli to understand what the network is able to learn.
JdeRobot/drones
wenjiaXu/Optical-RemoteSensing-Image-Resolution
The code for paper "Deep Memory Connected Neural Network for Optical Remote Sensing Image Restoration"
DebabrataPal7/MORGAN
Official Implementation of "MORGAN: Meta-Learning-based Few-Shot Open-Set Recognition via Generative Adversarial Network" (WACV23)
AdityaPradhan1/Nokia_Bell_Labs-MIT_Manipal-ROS_Mapping_Platform
This project is a collaboration of MIT Manipal and Nokia Bell Labs to create a Middleware platform will enable to map the ROS sensor data to non-ROS sensor data of the robotic system.
X-TRON404/MyPal-dev
dev environment of MyPal
X-TRON404/Nokia_Bell_Labs-MIT_Manipal-ROS_Mapping_Platform
This project is a collaboration of MIT Manipal and Nokia Bell Labs to create a Middleware platform will enable to map the ROS sensor data to non-ROS sensor data of the robotic system.
X-TRON404/srcnn
A course project on convolutional neural networks for single image super-resolution