☆17Mar 17, 2020Updated 6 years ago
Alternatives and similar repositories for Deep-Learning-Projects
Users that are interested in Deep-Learning-Projects are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Improved Training of Wasserstein GANs for Neural Machine Translation☆11Dec 11, 2017Updated 8 years ago
- KERAS: Multimodal Deep Learning for Semantic Segmentation (RGB, NIR Streams) - multiple architectures☆11Jun 19, 2017Updated 8 years ago
- Adversarial Machine Translation with pytorch☆23Jan 14, 2018Updated 8 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Apr 1, 2019Updated 7 years ago
- Bayesian Nonparametric Mixture Models in Julia☆14Oct 25, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆11Mar 9, 2018Updated 8 years ago
- TensorFlow based implementation of Fully-Convolutional Network☆12Jan 20, 2019Updated 7 years ago
- ☆16Jan 22, 2018Updated 8 years ago
- Solution to Cartpole balancing problem with the help of reinforcement learning and Deep Neural Networks.☆11May 5, 2023Updated 3 years ago
- Neural networks to segment some type of biomedical images☆21Sep 8, 2017Updated 8 years ago
- ☆10Aug 22, 2025Updated 9 months ago
- Implementation of Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks in tensorflow☆15Apr 2, 2017Updated 9 years ago
- A sphinx documentation helper, using the solution of Problem 185 from Project Euler as a test case.☆10Aug 7, 2020Updated 5 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- truncated Gaussian-Mixture Variational AutoEncoder☆11Mar 14, 2019Updated 7 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networ…☆23Jan 22, 2018Updated 8 years ago
- ☆22May 13, 2019Updated 7 years ago
- Source code for Text Infilling, implemented with Texar.☆27Feb 18, 2019Updated 7 years ago
- Library for fast text representation and classification.☆10Apr 17, 2022Updated 4 years ago
- This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".☆19Dec 7, 2018Updated 7 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 3 years ago
- This is the code for the SF Python meetup group tutorial on reinforcement learning☆13Jun 1, 2017Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Oct 8, 2018Updated 7 years ago
- The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017☆14Jun 20, 2018Updated 7 years ago
- Bayesian Graph Neural Networks☆12Sep 10, 2021Updated 4 years ago
- GPU Accelerated 3D Cell Simulator☆13Apr 15, 2026Updated last month
- Building an Intelligent Voice Assistant from scratch Emulation a Google Assistant on a RaspberryPi and Arduino Nano 33 BLE☆15Jan 26, 2021Updated 5 years ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Mar 25, 2020Updated 6 years ago
- UT Austin Machine Learning Group Latent Variable Modeling Toolkit☆26Feb 2, 2012Updated 14 years ago
- An Attention-based Bi-GRU-CapsNet Model for Hypernymy Detection between Compound Entities☆12Mar 15, 2019Updated 7 years ago
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Mar 22, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 8 years ago
- Python package for Bayesian & Frequentist A/B Testing☆12Jul 6, 2023Updated 2 years ago
- Materials for "Prompting is not a substitute for probability measurements in large language models" (EMNLP 2023)☆24Oct 24, 2023Updated 2 years ago
- ☆16Oct 29, 2019Updated 6 years ago
- Statistical Bootstrap in Python☆12Updated this week
- Multi-Objective Causal Bayesian Optimisation, a new paradigm for finding Pareto-optimal interventions in multi-outcome causal models☆16Jun 2, 2025Updated 11 months ago
- Evaluating variational inference using Pareto-smoothed importance sampling and simulation-based calibration☆12Jun 8, 2018Updated 7 years ago