AniTho's Stars
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
terryum/awesome-deep-learning-papers
The most cited deep learning papers
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
hindupuravinash/the-gan-zoo
A list of all named GANs!
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
guipsamora/pandas_exercises
Practice your pandas skills!
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
facebookresearch/ConvNeXt
Code release for ConvNeXt model
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
instillai/deep-learning-roadmap
:satellite: All You Need to Know About Deep Learning - A kick-starter
nightrome/really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
towhee-io/towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
maziarraissi/Applied-Deep-Learning
Applied Deep Learning Course
maxim5/cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
muellerzr/Practical-Deep-Learning-for-Coders-2.0
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
zllrunning/face-makeup.PyTorch
Lip and hair color editor using face parsing maps.
dongb5/GAN-Timeline
A timeline showing the development of Generative Adversarial Networks (GAN).
frevib/mit-cs-math-6042-fall-2010-problems
MIT CS 6.042 opencourseware Fall 2010 problems + solutions
maxim5/cs229-2019-summer
All notes and materials for the CS229: Machine Learning course by Stanford University
drmichaeldouglass/blenderGoogleGPU
A script to run on the command line of Google Colab to render Blender files using GPU
xylcbd/ocr-open-dataset
list all open dataset about ocr.
krishnakatyal/Elliot
A pentesting tool inspired by mr robot and derived by zphisher
AISangam/Image-Augmentation-Using-OpenCV-and-Python
Image Augmentation technique using OpenCV and Python
vinayakShenoy/PyImageSearchGurus-Course
Notes and code on computer vision course ,PyImageSearch Gurus.