Pinned Repositories
scikit-mdr
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
aml-reproducability-challenge
applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/CPU.
TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand tuning
variational-continual-learning
Implementation of the variational continual learning method
TuanNguyen27's Repositories
TuanNguyen27/addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
TuanNguyen27/aml-reproducability-challenge
TuanNguyen27/applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
TuanNguyen27/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/CPU.
TuanNguyen27/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand tuning
TuanNguyen27/variational-continual-learning
Implementation of the variational continual learning method
TuanNguyen27/causalml
Uplift modeling and causal inference with machine learning algorithms
TuanNguyen27/d2l-en
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
TuanNguyen27/depthfirstlearning.com
TuanNguyen27/edward2
A lightweight probabilistic programming language in NumPy or TensorFlow.
TuanNguyen27/flax
TuanNguyen27/gpt-2-Pytorch
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
TuanNguyen27/haiku
JAX-based neural network library
TuanNguyen27/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
TuanNguyen27/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
TuanNguyen27/jaxnet
Alternative to TensorFlow2/Keras/PyTorch for more concise, robust and optimized deep learning code
TuanNguyen27/lucid
A collection of infrastructure and tools for research in neural network interpretability.
TuanNguyen27/mcx
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
TuanNguyen27/minitorch.github.io
Docs
TuanNguyen27/ML_prep
Machine Learning interview prep guide
TuanNguyen27/neural-tangents
Easy and Fast Infinite Neural Networks in Python
TuanNguyen27/objax
TuanNguyen27/probability
Probabilistic reasoning and statistical analysis in TensorFlow
TuanNguyen27/pymc4
A high-level probabilistic programming interface for TensorFlow Probability
TuanNguyen27/pyro
Deep universal probabilistic programming with Python and PyTorch
TuanNguyen27/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
TuanNguyen27/pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
TuanNguyen27/symbolic-pymc
Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
TuanNguyen27/VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch
TuanNguyen27/xla
Enabling PyTorch on Google TPU