Stars
BiliBili Client Demo for Apple TV (tvOS)
Approaching (Almost) Any Machine Learning Problem
Code for the paper High Fidelity Image Synthesis With Deep VAEs In Latent Space.
Transformer: PyTorch Implementation of "Attention Is All You Need"
一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS
Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal)
Attention based model for learning to solve different routing problems
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Taught by Avinash Kak
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
A Python implementation of global optimization with gaussian processes.
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)
LLM powered development for VSCode
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Official code release for Consistency Regularization for VAEs
Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
A tiny and generic implementation of DC3 for learning optimization with constraints
DC3: A Learning Method for Optimization with Hard Constraints
Pytorch Implementation of Binary Latent Diffusion https://arxiv.org/abs/2304.04820
Implementation of Binary Latent Diffusion
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch