mandelbrot-walker

mandelbrot-walker's Stars

• jax-ml/jax

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

  Language:Python30.8k3365.8k2.8k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k2452.6k3.3k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.4k2768733.1k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k2191574.1k

• graykode/nlp-tutorial

  Natural Language Processing Tutorial for Deep Learning Researchers

  Language:Jupyter Notebook14.3k289534k

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.3k5341144.1k

• wiseodd/generative-models

  Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

  Language:Python7.4k297662k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.3k2921003.7k

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k43881.1k

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.6k1944561.5k

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.7k127217938

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.5k84267434

• minar09/awesome-virtual-try-on

  A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

  2.4k10711280

• black0017/MedicalZooPytorch

  A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

  Language:Python1.7k3425298

• yang-song/score_sde

  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.5k1925207

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.5k4513126

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.4k556153

• hse-aml/natural-language-processing

  Resources for "Natural Language Processing" Coursera course.

  Language:Jupyter Notebook1.2k59302k

• easystats/easystats

  :milky_way: The R easystats-project

  Language:R1.1k3031978

• facebookresearch/FixRes

  This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

  Language:Python1k2335149

• DanAnastasyev/DeepNLP-Course

  Deep NLP Course

  Language:Jupyter Notebook628254166

• FrancescoSaverioZuppichini/Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict

  Code for my medium article

  Language:Jupyter Notebook360111054

• ChrisWaites/jax-flows

  Normalizing Flows in JAX 🌊

  Language:Python2758419

• jacobjinkelly/easy-neural-ode

  Code for the paper "Learning Differential Equations that are Easy to Solve"

  Language:Python27111831

• google-research/nested-transformer

  Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf

  Language:Jupyter Notebook1958926

• ShilinHe/interpretableNLP

  A list of publications on NLP interpretability (Welcome PR)

  167406

• stanfordmlgroup/stanfordmlgroup.github.io

  Group Website

  Language:HTML9620841

• sedelmeyer/wasserstein-auto-encoder

  A brief tutorial on the Wasserstein auto-encoder

  Language:Jupyter Notebook843120

• gdkrmr/dimRed

  A Framework for Dimensionality Reduction in R

  Language:R7373315

• sw32-seo/neuralODE

  Language:Python4101