deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
Tutorial code on how to build your own Deep Learning System in 2k Lines
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 & data mining on partially-observed time series, with 50+ SOTA neural network model...
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classificatio...
Advanced Deep Learning with Keras, published by Packt
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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]
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
A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
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。
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
A python package to build AI-powered real-time audio applications
CVNets: A library for training computer vision networks
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
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.
Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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
A deep learning package for many-body potential energy representation and molecular dynamics
Generic U-Net Tensorflow implementation for image segmentation
[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
: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...
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...
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
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Neural Collaborative Filtering
List of awesome resources for machine learning-based algorithmic trading