aseembehl

aseembehl's Stars

• ikatsov/tensor-house

  A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

  Language:Jupyter Notebook1.3k464

• jmartinezheras/2018-MachineLearning-Lectures-ESA

  Machine Learning Lectures at the European Space Agency (ESA) in 2018

  Language:Jupyter Notebook353144

• timbuendert/relationship_explanation

  Code associated with the master thesis "Explaining Relationships Between Academic Documents Using Generative Transformer Models"

  Language:Python1

• laroche/tastyworks-pnl

  prepare German tax statement with Tastyworks transaction history

  Language:Python6517

• girliemac/a-picture-is-worth-a-1000-words

  I am trying to describe complex matters in simple doodles!

  11.2k800

• jrzaurin/pytorch-widedeep

  A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

  Language:Python1.3k189

• dair-ai/ML-Notebooks

  :fire: Machine Learning Notebooks

  Language:Jupyter Notebook3.3k519

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.3k1.2k

• xinshuoweng/Mono3DPLiDAR

  Official PyTorch Implementation for "Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud", ICCVW 2019

  13127

• GokulNC/Setting-Up-CARLA-Reinforcement-Learning

  Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

  Language:Python9518

• carla-rl-gym/carla-rl

  Reinforcement Learning Agents Trained in the CARLA Simulator

  Language:Python11831

• una-dinosauria/local-search-quantization

  State-of-the-art method for large-scale ANN search as of Oct 2016. Presented at ECCV 16.

  Language:Julia7411