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louisfb01
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the lat…
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Results: 32
louisfb01
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the lat…
jeshraghian
Deep and online learning with spiking neural networks in Python
huggingface
✨Fast Coreference Resolution in spaCy with Neural Networks
xmartlabs
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
chainer
A flexible framework of neural networks for deep learning
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
adambielski
Siamese and triplet networks with online pair/triplet mining in PyTorch
r9y9
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
chelsea0x3b
Deep learning in Rust, with shape checked tensors and neural networks
szilard
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…
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