YanickSchraner/chat-rpg-plugin-releases
Signed Firefox builds of Chat-RPG Auto Quest, with the update manifest Firefox checks for new versions
Repositories
YanickSchraner/CAS-DeepRL
YanickSchraner/pi-sensors
YanickSchraner/raspy-sensors
Test my raspy sensors with a python dashboard
YanickSchraner/garmin_dashboard
YanickSchraner/vllm-omni
A framework for efficient model inference with omni-modality models
YanickSchraner/rl-on-trains-workshop
YanickSchraner/tyk
Tyk Open Source API Gateway written in Go, supporting REST, GraphQL, TCP and gRPC protocols
YanickSchraner/SSE-Test
YanickSchraner/rle-mini-challenge
YanickSchraner/website
YanickSchraner/dienstplan
YanickSchraner/lancedb-haystack
A LanceDB based DocumentStore for Haystack 2.x
YanickSchraner/WikiTeacher
YanickSchraner/emTippSpiel
YanickSchraner/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
YanickSchraner/PyPokerEngine
Poker engine for poker AI development in Python
YanickSchraner/mosi_preprocessing
YanickSchraner/espnet
End-to-End Speech Processing Toolkit
YanickSchraner/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
YanickSchraner/wodss-tippspiel_backend
YanickSchraner/muzero-general
MuZero
YanickSchraner/rlpyt
Reinforcement Learning in PyTorch
YanickSchraner/pokerchallenge
YanickSchraner/client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
YanickSchraner/datasets
A collection of datasets ready to use with TensorFlow
YanickSchraner/Deep-Learning-for-Expression-Recognition-in-Image-Sequences
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
YanickSchraner/gym-mupen64plus
An OpenAI Gym environment wrapper for the Mupen64Plus N64 emulator
YanickSchraner/ROUGE-2.0
Java implementation of ROUGE for evaluation of summarization tasks. Stemming, stopwords and unicode support.
YanickSchraner/pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"