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Books and other resources

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

torchbearer: A model fitting library for PyTorch

Decision Intelligence Platform for Autonomous Driving simulation.

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

An experimental platform for federated learning.

Best practices & guides on how to write distributed pytorch training code

Join the community on Discord for more discussions around Neutone! https://discord.gg/VHSMzb8Wqp

Microsoft Automatic Mixed Precision Library

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"

Unofficial PyTorch Reimplementation of RandAugment.

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

Transformers for Longer Sequences

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

Examples and libraries for "Natural Language Processing in Action" book

Deep NLP Course

A system that uses ESP-NOW, LoRa, and other protocols to transport sensor data in remote areas without relying on WiFi.

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Medical image registration using deep learning

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

Dream to Control: Learning Behaviors by Latent Imagination

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Span-level grounding verification for RAG, code, and tool-grounded AI outputs.

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Matlab implementation of the ECO tracker.

Kaggle datascience bowl 2017

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Cursos completos de IA dictados por Humai

A deep learning framework for multi-animal pose tracking.

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

AI slides, paper notes, class notes, blog posts, and research overviews.

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

A flexible, effective and fast cross-view gait recognition network

Tools for understanding how transformer predictions are built layer-by-layer

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution