letyrodridc
Professor in Computer Science | AI Consultant @GoogleCloudPlatform | AI & ML Specialist
GoogleArgentina
letyrodridc's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
opencv/opencv
Open Source Computer Vision Library
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
google-research/google-research
Google Research
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
giuspen/cherrytree
cherrytree
GoogleCloudPlatform/professional-services
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
dair-ai/nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
opencv/opencv_extra
OpenCV extra data
SimHacker/micropolis
Automatically exported from code.google.com/p/micropolis
mimoralea/gdrl
Grokking Deep Reinforcement Learning
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples
minerllabs/minerl
MineRL Competition for Sample Efficient Reinforcement Learning - Python Package
yaoyao-liu/mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
twitter-research/meta-learning-lstm
This repo contains the source code accompanying a scientific paper with the same name.
khipu-ai/practicals-2019
Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
google-deepmind/card2code
A code generation dataset for generating the code that implements Hearthstone and Magic The Gathering card effects.
GoogleCloudPlatform/vertex-pipelines-end-to-end-samples
google-deepmind/neural_testbed
minerllabs/baselines
A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions
minerllabs/competition_submission_template
The submission template for the MineRL Competition @ NeurIPS 2021. Clone this to make a new submission!
LecJackS/CS-330-Deep-Multi-Task-and-Meta-Learning
https://cs330.stanford.edu/
minerllabs/getting-started-tasks
Tasks to get you started with MineRL
germank/eci2019-nlp
houchengbin/awesome-GNN-papers
mateuszmalinowski/Structured_Joint_Embedding
0-shot learning with SJE objective.
dciolek/compositional-supervisory-control-benchmark
Benchmark of compositional supervisory control problems.
KarolisRam/MineRL2021-Research-baselines
minerllabs/minerl-diamond-2021-research-bc-submission-kit
A baseline submission kit for the research track of NeurIPS 2021 MineRL competition.
joaquinmenendez/RAGit
A framework to create a RAG assistant for videos