YMMS's Stars
hyperopt/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
zygmuntz/msda-denoising
Using a very fast denoising autoencoder
antoine77340/Mixture-of-Embedding-Experts
Mixture-of-Embeddings-Experts
phdowling/mSDA
Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Matlab code by Minmin Chen
sclincha/xrce_msda_da_regularization
Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
SaltieRL/Saltie
🚗 Rocket League Distributed Deep Reinforcement Learning Bot
mrahtz/tensorflow-pos-tagger
Part-of-speech tagger implemented using a feedforward network in TensorFlow
mrahtz/ocd-a3c
TensorFlow implementation of asynchronous advantage actor-critic (A3C)
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
sebastianruder/learn-to-select-data
Code for Learning to select data for transfer learning with Bayesian Optimization
wallarm/nascell-automl
titu1994/neural-architecture-search
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
dhruvramani/Neural-Architecture-Search-with-RL
Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
tensorflow/minigo
An open-source implementation of the AlphaGoZero algorithm
taehoonlee/tensornets
High level network definitions with pre-trained weights in TensorFlow
CamDavidsonPilon/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 ;)
wagamamaz/tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
chrishokamp/constrained_decoding
Lexically constrained decoding for sequence generation using Grid Beam Search
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
mozilla/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
HDI-Project/ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
davidhalter/jedi
Awesome autocompletion, static analysis and refactoring library for python
NTMC-Community/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
fengli/autocomplete-redis
autocomplete-redis is a quora like automatic autocompletion based on redis.
koth/kcws
Deep Learning Chinese Word Segment