Pinned Repositories
auto-sklearn
Automated Machine Learning with scikit-learn
boltzmann-machines
Boltzmann Machines in TensorFlow with examples
catalyst
Reproducible and fast DL & RL.
deep_complex_networks
Implementation related to the Deep Complex Networks
deepbayes-2018
Seminars DeepBayes Summer School 2018
deepfloat
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
deepGP
Deep Gaussian Processes in matlab
homebrew-core
🍻 Default formulae for the missing package manager for macOS
hyperband
Tuning hyperparams fast with Hyperband
pymc4
A high-level probabilistic programming interface for TensorFlow Probability
deep-warrior's Repositories
deep-warrior/auto-sklearn
Automated Machine Learning with scikit-learn
deep-warrior/boltzmann-machines
Boltzmann Machines in TensorFlow with examples
deep-warrior/catalyst
Reproducible and fast DL & RL.
deep-warrior/deep_complex_networks
Implementation related to the Deep Complex Networks
deep-warrior/deepbayes-2018
Seminars DeepBayes Summer School 2018
deep-warrior/deepfloat
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
deep-warrior/homebrew-core
🍻 Default formulae for the missing package manager for macOS
deep-warrior/pymc4
A high-level probabilistic programming interface for TensorFlow Probability
deep-warrior/ignite
High-level library to help with training neural networks in PyTorch
deep-warrior/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
deep-warrior/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
deep-warrior/kaggle-camera
My solution to kaggle challenge "Camera Model Identification" [#17/582, top 2.9%]
deep-warrior/lda
Topic modeling with latent Dirichlet allocation using Gibbs sampling
deep-warrior/lucid
A collection of infrastructure and tools for research in neural network interpretability.
deep-warrior/markdown-preview-enhanced
One of the 'BEST' markdown preview extensions for Atom editor!
deep-warrior/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
deep-warrior/Parametric-t-SNE-in-Keras
a python implementation of Parametric t-SNE in Keras
deep-warrior/pennylane
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations
deep-warrior/pillow-simd
The friendly PIL fork
deep-warrior/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
deep-warrior/probability
Probabilistic reasoning and statistical analysis in TensorFlow
deep-warrior/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
deep-warrior/pytorch-goodies
deep-warrior/repo2docker
Turn git repositories into Jupyter enabled Docker Images
deep-warrior/spinningup
An educational resource to help anyone learn deep reinforcement learning.
deep-warrior/tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
deep-warrior/tools
:hammer: A collection of various short (standalone) scripts/tools
deep-warrior/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
deep-warrior/torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
deep-warrior/WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.