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a_guide_to_running_tensorflow_models_on_android

This is the code for"A Guide to Running Tensorflow Models on Android" By SIraj Raval on Youtube

awesome-visualization-research

A list of recommended research papers and other readings on data visualization

awesome-youtubers

▶️ An awesome list containing awesome YouTubers that teach about technology

awesomecppgamedev

A curated list of awesome C++ (mainly) things for Game Development. Inspired by awesome-... stuff.

awesomeo

The really big list of really interesting open source projects in all languages.

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

azad

Game-playing ANNs that use a stumbler-strategist architecture.

b-mod

Models from paper Kišš, Martin, Michal Hradiš, and Oldřich Kodym. “Brno Mobile OCR Dataset.” International Conference on Document Analysis and Recognition, 2019.

b4msa

A Baseline for Multilingual Sentiment Analysis

babble-rnn

babyai

BabyAI platform. A testbed for training agents to understand and execute natural language commands.

backchannel-prediction

bads

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

ban-vqa

Bilinear attention networks for visual question answering

bandit-nmt

bandits

Python library for Multi-Armed Bandits

baselines

OpenAI baselines: high-quality implementations of reinforcement learning algorithms

baselines-results

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

basicocr

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

batdetection

Detecting the sounds bats make in my backyard.

bayesgrad

BayesGrad: Explaining Predictions of Graph Convolutional Networks

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

bayesian-cognitive-modeling-in-pymc3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-multivariate-time-series-causal-inference

R code for Ning, B., Ghosal, S. and Thomas, J. (2017)

bayesian-rnn

TensorFlow implementation of Bayes-by-Backprop algorithm from "Bayesian Recurrent Neural Networks" paper

bayesian_cnn

Bayes by Backprop implemented in a CNN

bayesian_neural_network_papers

Papers for Bayesian-NN

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey