AdrianOrenstein

AdrianOrenstein's Stars

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k1.2k736k

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python37.2k4331.6k3.3k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.7k261722.7k

• magenta/magenta

  Magenta: Music and Art Generation with Machine Intelligence

  Language:Python19.3k7539623.8k

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.5k2295172.4k

• rusq/slackdump

  Save or export your private and public Slack messages, threads, files, and users locally without admin privileges.

  Language:Go1.7k913874

• anibali/docker-pytorch

  A Docker image for PyTorch

  Language:Dockerfile9752337226

• learn-to-race/l2r

  Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

  Language:Python150121415

• gibipara92/learning-explanations-hard-to-vary

  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard to vary"

  Language:Jupyter Notebook39415

• divideconcept/fastnumpyio

  Fast Numpy I/O : Fast replacement for numpy.load and numpy.save

  Language:Python36463

• MatthewHowe/WIBAM

  Project code for weakly supervised 3D object detectors using wide-baseline multi-view traffic camera data: WIBAM.

  Language:Python12311