lizhangzhan Goto Github PK

abseil-cpp

Abseil Common Libraries (C++)

adaptive-standout

Replication of the paper "Adaptive dropout for training deep neural networks" using Lasagne.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarialnn

Implementation of Adversarial learning on several neural networks

agents

Efficient Batched Reinforcement Learning in TensorFlow

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

algebird

Abstract Algebra for Scala

alphaplm

Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.

asgd

Averaged Stochastic Gradient Descent Classifiers

autoencoder

Sparse autoencoder network following Andrew Ng lecture notes in CS294A.

autograd

Efficiently computes derivatives of numpy code.

autoint

Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

autokeras

Accessible AutoML for deep learning.

avx-avx2-example-code

Example code for Intel AVX / AVX2 intrinsics.

awesome-cmake

A curated list of awesome CMake resources, scripts, modules, examples and others.

awesome-free-deep-learning-papers

awesome-modern-cpp

A collection of resources on modern C++

baidu-allreduce

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesian-nn-uncertainty

Classification uncertainty using Bayesian neural networks

bayesian-rnn

bayespy

Bayesian Python: Bayesian inference tools for Python

bazel

Correct, reproducible, and fast builds for everyone.

bcc

BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

bistro

Bistro is a flexible distributed scheduler, a high-performance framework supporting multiple paradigms while retaining ease of configuration, management, and monitoring.

bnmtf

Python implementations of bayesian non-negative matrix factorisation (BNMF) and tri-factorisation (BNMTF) algorithms, using Gibbs sampling and variational Bayesian inference. BNMF Gibbs sampler was introduced by Schmidt et al. (2009).

bnn

Bayesian Neural Networks

boosting

Python code for the post on boosting.

brain

[UNMAINTAINED] Simple feed-forward neural network in JavaScript

brushfire

Distributed decision tree ensemble learning in Scala