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Models and examples built with TensorFlow
Python packaging and dependency management made easy
Fully open reproduction of DeepSeek-R1
Train transformer language models with reinforcement learning.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Setup and customize deep learning environment in seconds.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
A collection of important graph embedding, classification and representation learning papers with implementations.
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
A LLM based research assistant that allows you to have a conversation with a research paper
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Training neural models with structured signals.
Label images and video for Computer Vision applications
Real-Time Semantic Segmentation in Mobile device
Tabular Deep Learning Library for PyTorch
Processed / Cleaned Data for Paper Copilot
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…
DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data
[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.
Graph Neural Networks for Recommender Systems
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym