dlnotes

dlnotes's Stars

• openai/glide-text2im

  GLIDE: a diffusion-based text-conditional image synthesis model

  Language:Python3.5k500

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.4k10.1k

• mahmoudnafifi/CIE_XYZ_NET

  PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (TPAMI 2021).

  Language:MATLAB7817

• shariqfarooq123/AdaBins

  Official implementation of Adabins: Depth Estimation using adaptive bins

  Language:Python725156

• taozh2017/RGBD-SODsurvey

  RGB-D Salient Object Detection: A Survey

  Language:MATLAB34031

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.4k1k

• princeton-vl/RAFT

  Language:Python3.2k623

• AljazBozic/DeepDeform

  [CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data

  Language:C++18317

• rwightman/gen-efficientnet-pytorch

  Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

  Language:Python1.6k214

• jkoutsikakis/pytorch-wrapper

  Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

  Language:Python9318

• AIcrowd/neurips2019_disentanglement_challenge_starter_kit

  Starter Kit for the NeurIPS 2019 Disentanglement Challenge

  Language:Python338

• microsoft/CryptoNets

  CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E

  Language:C#28071

• MadryLab/robust_representations

  Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

  Language:Jupyter Notebook15917

• shap/shap

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

  Language:Jupyter Notebook22.5k3.2k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.4k4.7k

• microsoft/tensorwatch

  Debugging, monitoring and visualization for Python Machine Learning and Data Science

  Language:Jupyter Notebook3.4k362

• yuanming-hu/exposure

  Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

  Language:Python765155

• lettier/3d-game-shaders-for-beginners

  🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

  Language:C++17.7k1.4k

• mila-iqia/babyai

  BabyAI platform. A testbed for training agents to understand and execute language commands.

  Language:Python686144

• google/compare_gan

  Compare GAN code.

  Language:Python1.8k319

• ajbrock/BigGAN-PyTorch

  The author's officially unofficial PyTorch BigGAN implementation.

  Language:Python2.8k471

• mariusbrataas/flowpoints_ml

  An intuitive approach to creating deep learning models

  Language:JavaScript37061

• cool-RR/PySnooper

  Never use print for debugging again

  Language:Python16.3k950

• facebookresearch/pytorch_GAN_zoo

  A mix of GAN implementations including progressive growing

  Language:Python1.6k270

• vrdisplays/sigasia2018

  31

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.8k126

• google/butteraugli

  butteraugli estimates the psychovisual difference between two images

  Language:C++2k137

• shrubb/box-convolutions

  PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

  Language:C++50935

• google/jax

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

  Language:Python29.8k2.7k

• AcademySoftwareFoundation/OpenShadingLanguage

  Advanced shading language for production GI renderers

  Language:C++2.1k350