Trần Quang Hiệp's repositories
Advanced-Machine-Learning-Specialization
Advanced Machine Learning Specialization on Coursera
AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CE7454_2019
Deep learning course CE7454, 2019
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
chess-alpha-zero
Chess reinforcement learning by AlphaGo Zero methods.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data-Science-Tutorials
Data Science Tutorials
DataSciencePython
common data analysis and machine learning tasks using python
deep_learning_object_detection
A paper list of object detection using deep learning.
deeplearning-models
A collection of various deep learning architectures, models, and tips
deeplearning4j
Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
How_to_simulate_a_self_driving_car
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
learnopencv
Learn OpenCV : C++ and Python Examples
LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
lucid
A collection of infrastructure and tools for research in neural network interpretability.
ludwig
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
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.
ml-workshop-1-of-4
Introduction to Machine learning with Python, 4h interactive workshop
MLQA
New dataset
netron
Visualizer for neural network, deep learning and machine learning models
self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
word2vecVN
Pre-trained Word2Vec models for Vietnamese