builien2010's Stars
microsoft/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
builien2010/Similar_Clothing_Retrievel
Find clothes from a picture use faiss and deepfashion dataset
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
ChanChiChoi/awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
siriusdemon/pytorch-PCN
Pytorch implementation of PCN
Talgin/preparing_data
Data preparation to use with our deep learning face recognition system
shangleyi/insightface-training-note
Insightface training note. MobileFaceNet lfw 99.583% cfp_fp 95.357% agedb_30 96.533% vgg2_fp 94.320%.
deepinsight/insightface
State-of-the-art 2D and 3D Face Analysis Project
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
dformoso/machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
bayesoptbook/bayesoptbook.github.io
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
kennethleungty/Data-Centric-AI-Competition
Codes for a Top 5% finish in the Data-Centric AI Competition organized by Andrew Ng and DeepLearning.AI
AgaMiko/data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
fsoft-ailab/Data-Competition
graykode/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
rougier/matplotlib-cheatsheet
Matplotlib 3.1 cheat sheet.
Dpananos/GetCards
Notebook to download machine learning flashcards
jessicayung/machine-learning-flashcards
Machine learning flashcards
patrickloeber/ml-study-plan
The Ultimate FREE Machine Learning Study Plan
paiml/practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
matplotlib/cheatsheets
Official Matplotlib cheat sheets
fsoft-ailab/Poem-Generator
PacktPublishing/Modern-Computer-Vision-with-PyTorch
Modern Computer Vision with PyTorch, published by Packt
pytorch/tutorials
PyTorch tutorials.
google-deepmind/alphafold
Open source code for AlphaFold 2.