ssydasheng

ssydasheng's Stars

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX59.9k8794709.5k

• karpathy/minGPT

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

  Language:Python20.2k257722.5k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.6k4691.2k3.5k

• facebookresearch/nevergrad

  A Python toolbox for performing gradient-free optimization

  Language:Python4k58264354

• MrGemy95/Tensorflow-Project-Template

  A best practice for tensorflow project template architecture.

  Language:Python3.6k15220818

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k581.3k562

• thu-ml/zhusuan

  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

  Language:Python2.2k14261418

• niklasso/minisat

  A minimalistic and high-performance SAT solver

  Language:C++1k4926394

• OATML/bdl-benchmarks

  Bayesian Deep Learning Benchmarks

  Language:Jupyter Notebook663231294

• robi56/awesome-bayesian-deep-learning

  A curated list of resources dedicated to bayesian deep learning

  41237085

• arminbiere/cadical

  CaDiCaL SAT Solver

  Language:C++3792287134

• junyuseu/pytorch-cifar-models

  3.41% and 17.11% error on CIFAR-10 and CIFAR-100

  Language:Python328121296

• lrjconan/LanczosNetwork

  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

  Language:Python31181066

• google/neural-logic-machines

  Implementation for the Neural Logic Machines (NLM).

  Language:Python28338347

• philschmid/huggingface-sagemaker-workshop-series

  Enterprise Scale NLP with Hugging Face & SageMaker Workshop series

  Language:Jupyter Notebook23411656

• jamesrobertlloyd/gpss-research

  Kernel structure discovery research code - likely to be unstable

  Language:TeX188196073

• FalkonML/falkon

  Large-scale, multi-GPU capable, kernel solver

  Language:Python18155522

• renmengye/tensorflow-forward-ad

  Forward-mode Automatic Differentiation for TensorFlow

  Language:Python14011518

• aws-samples/data-science-on-aws

  Language:Jupyter Notebook1398046

• hughsalimbeni/bayesian_benchmarks

  A community repository for benchmarking Bayesian methods

  Language:Jupyter Notebook1099637

• TeamCohen/TensorLog

  Language:Python10881322

• zi-w/Max-value-Entropy-Search

  Max-value Entropy Search for Efficient Bayesian Optimization

  Language:MATLAB696917

• pomonam/NoisyNaturalGradient

  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

  Language:Python60638

• bneyshabur/over-parametrization

  Computing various norms/measures on over-parametrized neural networks

  Language:Python49609

• team-approx-bayes/fromp

  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"

  Language:Python44236

• thjashin/gp-infer-net

  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

  Language:Python41404

• thjashin/spectral-stein-grad

  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)

  Language:Python32319

• AMLab-Amsterdam/SEVDL_MGP

  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors", Christos Louizos & Max Welling, ICML 2016

  Language:Python31909

• gd-zhang/Weight-Decay

  Regularization, Neural Network Training Dynamics

  Language:Python14210

• ime-luebeck/non-stationary-phase-gp-mod

  Language:MATLAB2300