Alternatives and similar repositories for Medium_Repo:

Users that are interested in Medium_Repo are comparing it to the libraries listed below

• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 4 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆57Updated 6 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆40Updated 5 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• LeeDoYup / TGGNet-keras
  Official implementation of Temporal-Guided Networks
  ☆48Updated 4 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• rcamino / multi-categorical-gans
  Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"
  ☆49Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆40Updated 2 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• brendanhasz / tfp-taxi
  Taxi fare prediction using tensorflow probability
  ☆15Updated 5 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• paraschopra / deepneuroevolution
  Evolving deep neural network agents using Genetic Algorithms
  ☆66Updated 6 years ago
• jimliu741523 / headjackai-sdk
  ☆17Updated 2 years ago
• bgroenks96 / normalizing-flows
  Implementations of normalizing flows using python and tensorflow
  ☆24Updated last month
• ceshine / recurrent-dropout-experiments
  ☆16Updated 5 years ago
• sinusgamma / multimodal_network
  Mixture Density Network with Tensorflow Probability. Demonstrate the usefulness of multi-modal distribution outputs for neural networks.
  ☆20Updated 4 years ago
• RubensZimbres / Repo-2021
  Transformers, Graph Neural Networks, PySpark, Neural Cellular Automata, FB Prophet, Google Cloud, NLP codes, Ethical Hacking and C Langua…
  ☆57Updated last month
• bhattbhavesh91 / auto-regressive-time-series-model
  Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
  ☆15Updated 3 years ago
• lovvge / Forecasting-Tutorials
  ☆22Updated 3 years ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 4 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• amazon-science / creating-and-correcting-novel-ml-model-errors
  ☆30Updated 3 years ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆47Updated 2 years ago
• MauroCE / PythonBRMLtoolbox
  Python 3.7 version of David Barber's MATLAB BRMLtoolbox
  ☆24Updated 6 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆76Updated 7 years ago
• AlxndrMlk / PyDataGlobal2021
  ☆12Updated 3 years ago
• cyrilou242 / mockseries
  Easy and intuitive generation of synthetic timeseries for Python.
  ☆35Updated 4 months ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆32Updated 2 years ago