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Representing Long-Range Context for Graph Neural Networks with Global Attention
Deep Learning Cookbox
Learning about and doing projects with recurrent neural networks
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A small package to create visualizations of PyTorch execution graphs
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Seamlessly Display and Edit CSVs in Visual Studio Code
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Mastering PyTorch, published by Packt
Code Repository for Liquid Time-Constant Networks (LTCs)
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Graph Convolutional Networks for Text Classification. AAAI 2019
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Master programming by recreating your favorite technologies from scratch.
Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
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All the resources you need to get to Senior Engineer and beyond