deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
Keras Temporal Convolutional Network. Supports Python and R.
A library for graph deep learning research
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network mo...
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classificatio...
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
Advanced Deep Learning with Keras, published by Packt
Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.
A collection of research papers and software related to explainability in graph machine learning.
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical exper...
🤖 A Python library for learning and evaluating knowledge graph embeddings
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
使用符号回归在中国股市与加密市场上进行高效因子挖掘。
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
A python package to build AI-powered real-time audio applications
CVNets: A library for training computer vision networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Physical Symbolic Optimization
Deep Learning model to analyze a large corpus of clear text passwords.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
A curated list of awesome papers on dataset distillation and related applications.
TinyML AI inference library
Training PyTorch models with differential privacy
List of papers about Proteins Design using Deep Learning
Generic U-Net Tensorflow implementation for image segmentation
A deep learning package for many-body potential energy representation and molecular dynamics
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Gaussian processes in TensorFlow
Deep learning in Rust, with shape checked tensors and neural networks
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get...
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Pytho...
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, S...
[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It sup...
TensorFlow template application for deep learning
Train AI models efficiently on medical images using any framework
Neural Collaborative Filtering
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
A Keras port of Single Shot MultiBox Detector