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deepsense.ai (@deepsense-ai)

deepsense-ai

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Registered about 9 years ago
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Python
37.5 %

Jupyter Notebook
25.0 %

C++
12.5 %

Scala
12.5 %

CSS
4.2 %

Cuda 4.2 %

R
4.2 %

roi-pooling

carla-birdeye-view

Bird-eye's view for CARLA simulator

db-ally

Efficient, consistent and secure library for querying structured data with natural language

seahorse

carla-real-traffic-scenarios

Distributed-BA3C

pydatawarsaw-notebooks

edge-slm

This project is a native implementation of a RAG pipeline for Small Language Models tested on Android devices. The main goal was to fit the whole RAG pipeline into a resource constrained device - ie. smartphone. By design the provided RAG library should be deployable on various platforms.

Keras-PyTorch-AvP-transfer-learning

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Jupyter Notebook

ds-splat

seahorse-workflow-executor

tensorflow_on_slurm

unblackboxing_webinar

Jupyter Notebook

ds-template

Template for professional data science and python applications made by deepsense.ai

intel-ai-webinar-neural-networks

Jupyter Notebook

deep_learning_art_webinar

Jupyter Notebook

BA3C-CPU

ds-pycontain

Library to run python REPL in isolated docker container and helpful abstraction for docker containers/images. in python

ragbits

Building blocks for rapid development of GenAI applications

hands-on-deep-learning

Jupyter Notebook

seahorse-sdk-example

Examples of usage of Seahorse SDK

trelbert

Repository for TrelBERT: A pre-trained encoder for Polish Twitter

mrunner

hackathon_gov_pl

Repository for hackathon.gov.pl.

Jupyter Notebook

neptune-r-client-library