litaws

litaws's Stars

• yuval-alaluf/Attend-and-Excite

  Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

  Language:Jupyter Notebook70362

• llorz/SGA21_roofOptimization

  code for the paper "Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis"

  Language:MATLAB5710

• pamoroso/free-python-books

  Python books free to read online or download

  4.8k669

• facebookresearch/madgrad

  MADGRAD Optimization Method

  Language:Python80357

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.7k646

• anvoynov/GANLatentDiscovery

  The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

  Language:Python42050

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.8k604

• zedr/clean-code-python

  :bathtub: Clean Code concepts adapted for Python

  Language:Python4.5k781

• thoughtbot/dotfiles

  A set of vim, zsh, git, and tmux configuration files.

  Language:Shell8k1.9k

• Randl/kmeans_selfsuper

  Language:Jupyter Notebook544

• dataloop-ai/AutoML

  ZazuML - easy AutoML for Object Detection

  Language:Python33844

• AirbusDefenceAndSpace/pesto

  PESTO provides a set of tools to ease the process of packaging a Python algorithm as a processing web service into a docker image. The deployment of a web service becomes now as easy as filling few configuration files.

  Language:Python248

• pgrnar/DualityGap

  Implementation of the Duality Gap metric from the paper "A Domain Agnostic Measure for Monitoring andEvaluating GANs", published at NeurIPS 2019

  5

• ofsoundof/dhp

  This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".

  Language:Python588

• ThibaultGROUEIX/3D-CODED

  Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

  Language:Python32150

• yflv-yanxia/handwritten_text

  7323

• pytorch/xla

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  Language:C++2.5k483

• olofmogren/c-rnn-gan

  Implementation of C-RNN-GAN.

  Language:Python450136

• ShopRunner/jupyter-notify

  A Jupyter Notebook magic for browser notifications of cell completion

  Language:Python58040

• inducer/pudb

  Full-screen console debugger for Python

  Language:Python3k229

• ShichenLiu/SoftRas

  Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

  Language:Python1.2k156

• pyimgui/pyimgui

  Cython-based Python bindings for dear imgui

  Language:Cython1.4k184

• gto76/python-cheatsheet

  Comprehensive Python Cheatsheet

  Language:Python36.5k6.5k

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k1.3k

• zaidalyafeai/Notebooks

  Machine learning notebooks in different subjects optimized to run in google collaboratory

  Language:Jupyter Notebook37081

• geoopt/geoopt

  Riemannian Adaptive Optimization Methods with pytorch optim

  Language:Python85679

• argman/EAST

  A tensorflow implementation of EAST text detector

  Language:C++3k1.1k

• jax-ml/jax

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

  Language:Python30.6k2.8k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.4k7.9k

• johnwlambert/dlupi-heteroscedastic-dropout

  Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)

  Language:Python3815