☆22Sep 16, 2021Updated 4 years ago
Alternatives and similar repositories for jammo_the_robot
Users that are interested in jammo_the_robot are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Interface for using TTS and vocoder models in the form of a text editor☆20Nov 25, 2025Updated 7 months ago
- an example of local large langue model embeddings with Redis as vector stores☆12Apr 30, 2023Updated 3 years ago
- Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)☆25May 9, 2020Updated 6 years ago
- MineRL 2021 Intro track baselines☆13Jul 30, 2021Updated 4 years ago
- Pointer Networks Implementation in Keras☆11Aug 17, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains the code for applying One-Token Approximation to a pretrained language model using subword-level tokenization.☆12May 7, 2020Updated 6 years ago
- ☆12Nov 13, 2017Updated 8 years ago
- Implementation of Variance Reduction Techniques in Julia☆12Sep 6, 2016Updated 9 years ago
- Sentence Embedding as a Service☆15Jun 30, 2025Updated last year
- A memory-based morphological parser for Python☆16Oct 12, 2012Updated 13 years ago
- ☆20Apr 16, 2021Updated 5 years ago
- A small (but hopefully growing) subset of the brl-cad primitives, being emitted as tcl scripts that mged can directly process into databa…☆11Dec 16, 2025Updated 6 months ago
- 한국 커뮤니티 유저 핫딜 알림 봇☆15Nov 28, 2025Updated 7 months ago
- ICP implementations including Robust-ICP and Anisotropic-Scaled ICP☆12Feb 17, 2015Updated 11 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [NeurIPS 2021] Open Rule Induction☆19May 22, 2022Updated 4 years ago
- ResBlock, DenseBlock and SpatialTransformer layers made with the Keras Layer API and TF2.0.