Trending AI reposUpdated daily from GitHub

Bayesian Deep Learning: A Survey

CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

A self driving toy car using end-to-end learning

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

A framework for high-performance medical image processing, neural network inference and visualization

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

A simple yet effective Audio-to-Midi Automatic Piano Transcription system

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Code for deep generative prior (ECCV2020 oral)

Implementation of https://srush.github.io/annotated-s4

:red_car: the collection of vehicle re-ID papers, datasets. :red_car:

Urban sound classification using Deep Learning

Structural implementation of RL key algorithms

Reproduces ResNet-V3 with pytorch

Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

A simple self-driving car module for humans 🚘 🛣️

Sequence-to-Sequence learning using PyTorch

ICPR 2020: Facial Expression Recognition using Residual Masking Network

Tool-box for efficient build and debug in Python. Especially for Scientific Computing and Computer Vision.

Code for FLAVR: A fast and efficient frame interpolation technique.

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

Train high-quality text-to-image diffusion models in a data & compute efficient manner

Lightwood is Legos for Machine Learning.

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

GPU-accelerated Deep Learning on Windows 10 native

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

an implementation of softmax splatting for differentiable forward warping using PyTorch

Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.

dl4j 基础教程 配套视频：https://space.bilibili.com/327018681/#/

Testing adaptation of the DINOv2/3 encoders for vision tasks with Low-Rank Adaptation (LoRA)

Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.

pytorch version of neural collaborative filtering

Digit recognition with Convolutional Neural Networks in WebGL

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

Efficient Learning of Augmentation Policy Schedules

PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'

Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

A deep neural network for face alignment

Stockfish NNUE (Chess evaluation) trainer in Pytorch

Simple tutorials for building neural networks with TensorFlow Eager mode.