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Label Studio is a multi-type data labeling and annotation tool with standardized output format
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
[ICCV'21] EigenGAN: Layer-Wise Eigen-Learning for GANs
JAX - A curated list of resources https://github.com/google/jax
A library for developing deep generative models in a more concise, intuitive and extendable way
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
项目注释+论文复现+算法竞赛+Pytorch实践+LeetCode
CS198-96: Intro to Neurotechnology @ UC Berkeley
A List of Awesome Swift Playgrounds
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A Collection of Variational Autoencoders (VAE) in PyTorch.
Implementation of a compiler for programs written in the sugared first order probabilistic programming language (FOPPL)
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
Original implementation of Spatially Invariant Attend, Infer, Repeat (SPAIR) in TensorFlow.
Fast and Easy Infinite Neural Networks in Python
Notebooks about Bayesian methods for machine learning
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
COCO-GAN: Generation by Parts via Conditional Coordinating (ICCV 2019 oral)
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Practical assignments of the Deep|Bayes summer school 2019