vvvityaaa

vvvityaaa's Stars

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX59.8k8794709.5k

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30k3285.5k2.7k

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7.3k1538573

• huggingface/deep-rl-class

  This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

  Language:MDX3.9k83304602

• kuprel/min-dalle

  min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

  Language:Python3.5k2577257

• minitorch/minitorch

  The full minitorch student suite.

  Language:Python1.9k185406

• mohammadpz/pytorch_forward_forward

  Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

  Language:Python1.4k2511131

• jeshraghian/snntorch

  Deep and online learning with spiking neural networks in Python

  Language:Python1.3k31113223

• jacobhilton/deep_learning_curriculum

  Language model alignment-focused deep learning curriculum

  1.3k171110

• albermax/innvestigate

  A toolbox to iNNvestigate neural networks' predictions!

  Language:Python1.3k34260233

• rasbt/matplotlib-gallery

  Examples of matplotlib codes and plots

  Language:Jupyter Notebook1.2k552303

• GaParmar/clean-fid

  PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

  Language:Python97194973

• marcoancona/DeepExplain

  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

  Language:Python7343765133

• christiancosgrove/pytorch-spectral-normalization-gan

  Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-

  Language:Python6771718109

• mmp2/megaman

  megaman: Manifold Learning for Millions of Points

  Language:Python322243668

• C0D3D3V/Moodle-Downloader-2

  A Moodle downloader that downloads course content fast from Moodle (eg. lecture pdfs)

  Language:Python316613756

• g1910/HyperNetworks

  PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

  Language:Python2595737

• chr5tphr/zennit

  Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

  Language:Python202155032

• djcrw/generalising-structural-knowledge

  Language:Python18015438

• csquires/6.S091-causality

  Language:Python1738220

• ViCCo-Group/thingsvision

  Python package for extracting representations from state-of-the-art computer vision models

  Language:Python15767421

• jbakermans/torch_tem

  Implementation of the Tolman Eichenbaum Machine in pytorch

  Language:Python1422442

• TomGeorge1234/RatInABox

  A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.

  Language:Python10742922

• ashnair1/COCO-Assistant

  Helper for dealing with MS-COCO annotations

  Language:Python9252834

• Getdeck/getdeck

  A CLI that creates reproducible Kubernetes environments for development and testing

  Language:Python908542

• vvvityaaa/awesome-spiking-neural-networks

  A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.

  60408

• afrancl/BinauralLocalizationCNN

  Code to create networks that localize sounds sources in 3D environments

  Language:Python424412

• Getdeck/beiboot

  Getdeck Beiboot is a Kubernetes-in-Kubernetes solution :rocket: It allows creating multiple logical Kubernetes environments within one :arrow_right: physical host cluster.

  Language:Python272492

• PhGK/ProteinNetworkLRP

  Predicting patient-level proteomic networks by explainable artificial intelligence

  Language:Jupyter Notebook7201

• Getdeck/getdeck-action

  A GitHub Action to run ephemeral Kubernetes clusters during workflow based on Deckfiles.

  Language:Shell4310