dlinzner-bcs

dlinzner-bcs's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.2k3254033.3k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.5k2186112.1k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.4k80497990

• tracel-ai/burn

  Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

  Language:Rust9k66729447

• nebuly-ai/optimate

  A collection of libraries to optimise AI model performances

  Language:Python8.4k93202639

• pydantic/FastUI

  Build better UIs faster.

  Language:Python8.3k66221320

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.9k988891.2k

• MilesCranmer/PySR

  High-Performance Symbolic Regression in Python and Julia

  Language:Python2.5k32233217

• huawei-noah/trustworthyAI

  Trustworthy AI related projects

  Language:Python97821106217

• awslabs/fortuna

  A Library for Uncertainty Quantification.

  Language:Python891121846

• dswah/pyGAM

  [HELP REQUESTED] Generalized Additive Models in Python

  Language:Python87627262161

• MilesCranmer/symbolic_deep_learning

  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

  Language:Python728287132

• marl/openl3

  OpenL3: Open-source deep audio and image embeddings

  Language:Jupyter Notebook469116658

• boschresearch/torchphysics

  Language:Jupyter Notebook41291142

• Koukyosyumei/AIJack

  Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

  Language:C++36744761

• skggm/skggm

  Scikit-learn compatible estimation of general graphical models

  Language:Python243117844

• experimental-design/bofire

  Experimental design and (multi-objective) bayesian optimization.

  Language:Python231811123

• chr5tphr/zennit

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

  Language:Python203155032

• iterative/example-get-started

  Get started DVC project (NLP, random forest)

  Language:Python176150187

• sustainable-processes/summit

  Optimising chemical reactions using machine learning

  Language:Jupyter Notebook121810325

• DataDog/piecewise

  ## Auto-archived due to inactivity. ## Functions for piecewise regression on time series data

  Language:Python1059935

• cmu-phil/example-causal-datasets

  Example causal datasets with consistent formatting and ground truth

  664411

• antoniobarbalau/black-box-ripper

  Black-Box Ripper: Copying black-box models using generative evolutionary algorithms - NIPS 2020 - Official Implementation

  Language:Python28254

• jepperaskdk/pydoctest

  Python docstring signature verification

  Language:Python202243

• blei-lab/deconfounder_public

  Language:Jupyter Notebook192815

• LIS-Laboratory/cupc

  cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU

  Language:Cuda15328

• prashanth41/Layer-wise_relevance_propagation

  Implementation of layer-wise relevance propagation.

  Language:Python8100

• privacytrustlab/lood_in_ml

  Language:Python5000

• christran16/pyCausalFS

  A fork of pyCausalFS: A Python Library for Local Structure Learning

  Language:Python2000

• elpx16443/umia

  Language:Python1