Phan Nguyên Bảo's starred repositories
aws-gpu-docker-guide
Guide how to setup auto scaling AWS gpu infrastructure for ML
Deep-Photo-Enhancer
TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
Reinforcement_Learning_for_Stock_Prediction
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
ML-paper-notes
:notebook: Notes and summaries of various ML, Computer Vision & NLP papers.
terraform-aws-couchbase
Reusable infrastructure modules for running Couchbase on AWS
pomoday-v2
A keyboard only task management web app
simple-sso
Single sign-On authorization server and clients implemented in Node.js
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
basic_model_scratch
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
blockchain-for-software-engineers
A curated list of resources for blockchain engineers
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.
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
ml-yearning-vi
Một cuốn sách tập trung vào hướng dẫn cách cấu trúc các dự án Học Máy và phân tích cách làm cho các thuật toán Học Máy hoạt động.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Data-Science--Cheat-Sheet
Cheat Sheets
FaceForensics
Github of the FaceForensics dataset
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
gans-awesome-applications
Curated list of awesome GAN applications and demo
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.