jmkuebler

jmkuebler's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k1.1k16.4k27.4k

• scipy/scipy

  SciPy library main repository

  Language:Python13.2k35010.5k5.2k

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.6k992731k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k140482935

• PennyLaneAI/pennylane

  PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

  Language:Python2.4k461.4k613

• tensorflow/quantum

  An open-source Python framework for hybrid quantum-classical machine learning.

  Language:Python1.8k83338583

• awslabs/fortuna

  A Library for Uncertainty Quantification.

  Language:Python892121846

• syne-tune/syne-tune

  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

  Language:Python3931213151

• djsutherland/arxiv-collector

  A little Python script to collect LaTeX sources for upload to the arXiv.

  Language:Python33731723

• aws-samples/bedrock-access-gateway

  OpenAI-Compatible RESTful APIs for Amazon Bedrock

  Language:Python335235085

• awslabs/Renate

  Library for automatic retraining and continual learning

  Language:Python28212416

• edemaine/cocreate

  Cocreate Shared Whiteboard/Drawing

  Language:CoffeeScript2141220127

• huggingface/optimum-neuron

  Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.

  Language:Jupyter Notebook2131229065

• aws-neuron/transformers-neuronx

  Language:Python101317129

• wittawatj/kernel-gof

  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

  Language:Python676416

• CPJKU/deep_lda

  Implementation of Deep Linear Discriminant Analysis (DeepLDA)

  Language:Python486326

• fengliu90/DK-for-TST

  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).

  Language:Python485010

• VahidooX/DeepLDA

  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras

  Language:Python412610

• jmkuebler/auto-tst

  AutoML Two-Sample Test

  Language:Python19321

• krikamol/kcm-test

  An implementation of the kernel conditional moment (KCM) tests.

  Language:MATLAB50

• MPI-IS/tests-wo-splitting

  Language:Python5302

• antoninschrab/agginc-paper

  Reproducibility code for Efficient Aggregated Kernel Tests using Incomplete U-statistics, by Schrab, Kim, Guedj and Gretton: https://arxiv.org/abs/2206.09194 NeurIPS 2022

  Language:Jupyter Notebook3100