metekemertas
PhD student in computer science. Interested in machine learning with a focus in reinforcement learning.
University of Toronto, Vector InstituteToronto, ON
metekemertas's Stars
oxwhirl/pymarl
Python Multi-Agent Reinforcement Learning framework
adapter-hub/adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
lmcinnes/umap
Uniform Manifold Approximation and Projection
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
google-deepmind/meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
PythonOT/POT
POT : Python Optimal Transport
locuslab/qpth
A fast and differentiable QP solver for PyTorch.
cvxgrp/cvxpylayers
Differentiable convex optimization layers
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
GazzolaLab/PyElastica
Python implementation of Elastica, an open-source software for the simulation of assemblies of slender, one-dimensional structures using Cosserat Rod theory.
google-deepmind/dm_env_rpc
A networking protocol for agent-environment communication
CMA-ES/pycma
Python implementation of CMA-ES
ARISE-Initiative/robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
openai/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
alecjacobson/geometry-processing-csc2520
Course Page for Geometry Processing
dilevin/CSC417-physics-based-animation
Homepage for CSC417: Physics-based Animation
tink-crypto/tink
Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.
OpenMined/PySyft
Perform data science on data that remains in someone else's server
IntelLabs/nlp-architect
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
cchen156/Learning-to-See-in-the-Dark
Learning to See in the Dark. CVPR 2018
roytseng-tw/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
brendenlake/BPL
Bayesian Program Learning model for one-shot learning
dmlc/nnvm
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
RasaHQ/rasa_core
Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
deeppavlov/DeepPavlov
An open source library for deep learning end-to-end dialog systems and chatbots.
twitter/cassovary
Cassovary is a simple big graph processing library for the JVM