yifuhu's Stars
yenchenlin/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
aws-samples/aws-sagemaker-custom-jupyter-kernel
This repo provides a couple of easy-to-use template scripts to help you set up a custom jupyter kernel on a AWS Sagemaker Jupyter Notebook Instance.
UKPLab/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
yilundu/gem
[NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
autonomousvision/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
jchibane/ndf
Neural Unsigned Distance Fields (NDF) - Codebase
Newmu/dcgan_code
Deep Convolutional Generative Adversarial Networks
google-research-datasets/natural-questions
Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question answering systems.
beir-cellar/beir
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
google-research/language
Shared repository for open-sourced projects from the Google AI Language team.
microsoft/MSMARCO-Conversational-Search
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.
Guzpenha/MANtIS
MANtIS - a multi-domain information seeking dialogues dataset
ranahanocka/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
bmild/nerf
Code release for NeRF (Neural Radiance Fields)
fanhqme/PointSetGeneration
Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
dashishi/LDPolypVideo-Benchmark
A public endoscopic video dataset for polyp detection
mikedh/trimesh
Python library for loading and using triangular meshes.
nadeemlab/CEP
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
simula/hyper-kvasir
GitHub repository for the Hyper-Kvasir dataset.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-research/bert
TensorFlow code and pre-trained models for BERT
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
CapsuleEndoscope/VirtualCapsuleEndoscopy
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
emadeldeen24/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
titu1994/LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
facebookresearch/tacto
Simulator of vision-based tactile sensors.
rhgao/ObjectFolder
ObjectFolder Dataset
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
andreasveit/densenet-pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)