deep-learning

Implementation of EfficientNet model. Keras and TensorFlow Keras.

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

Benchmark datasets, data loaders, and evaluators for graph machine learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Reinforcement Learning environments based on the 1993 game Doom :godmode:

Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI

A library for differentiable nonlinear optimization

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

A CV toolkit for my papers.

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

🤖 A Python library for learning and evaluating knowledge graph embeddings

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

A deep learning package for many-body potential energy representation and molecular dynamics

Scaled-YOLOv4: Scaling Cross Stage Partial Network

A python package to build AI-powered real-time audio applications

Advanced Deep Learning with Keras, published by Packt

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Keras Temporal Convolutional Network. Supports Python and R.

A library for graph deep learning research

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch

List of papers about Proteins Design using Deep Learning