dobriban

dobriban's Stars

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Jupyter Notebook6.2k650

• davidcpage/cifar10-fast

  Language:Jupyter Notebook535119

• QData/AdversarialDNN-Playground

  VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

  Language:Python13031

• locuslab/fast_adversarial

  [ICLR 2020] A repository for extremely fast adversarial training using FGSM

  Language:Python43692

• dobriban/Topics-in-deep-learning

  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)

  Language:HTML9418

• brylevkirill/notes

  Learn about Machine Learning and Artificial Intelligence

  916237

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.3k1.2k

• arnabgho/iSketchNFill

  Software that can autocomplete sketches as the user starts drawing.

  Language:Python19322

• ray-project/tune-sklearn

  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

  Language:Python46751

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.2k5.8k

• Santosh-Gupta/ScientificSummarizationDataSets

  Datasets I have created for scientific summarization, and a trained BertSum model

  Language:Jupyter Notebook1149

• huggingface/transformers

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

  Language:Python136k27.2k

• minimaxir/gpt-2-simple

  Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

  Language:Python3.4k676

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6k2.1k

• Tessellate-Imaging/Pytorch_Tutorial

  A set of jupyter notebooks on pytorch functions with examples

  Language:Jupyter Notebook15766

• ludwig-ai/ludwig

  Low-code framework for building custom LLMs, neural networks, and other AI models

  Language:Python11.2k1.2k

• rasbt/python-machine-learning-book-3rd-edition

  The "Python Machine Learning (3rd edition)" book code repository

  Language:Jupyter Notebook4.6k2k

• jax-ml/jax

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

  Language:Python30.6k2.8k

• jasonwei20/eda_nlp

  Data augmentation for NLP, presented at EMNLP 2019

  Language:Python1.6k315

• makcedward/nlpaug

  Data augmentation for NLP

  Language:Jupyter Notebook4.5k463

• fg91/Neural-Image-Caption-Generation-Tutorial

  Language:Jupyter Notebook668

• openai/weightnorm

  Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

  Language:Python365119

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k74.3k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k45.7k

• tensorflow/fairness-indicators

  Tensorflow's Fairness Evaluation and Visualization Toolkit

  Language:Jupyter Notebook34380

• manicman1999/StyleGAN2-Tensorflow-2.0

  StyleGAN 2 in Tensorflow 2.0

  Language:Python486112

• 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:Python7.2k936

• amirgholami/PyHessian

  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

  Language:Jupyter Notebook694119

• zetaqubit/ml

  Language:Jupyter Notebook1

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.5k1.1k