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Discover 308 open source projects
Showing 181-200 of 308 projects
chelsea0x3b/dfdx
Deep learning library for Rust with shape-checked tensors and neural networks
jeshraghian/snntorch
A Python library for deep and online learning with spiking neural networks (SNNs) using PyTorch.
google-deepmind/penzai
A JAX-based research toolkit for building, editing, and visualizing neural networks for vibe coders.
MrNothing/AI-Blocks
A powerful WYSIWYG interface for creating Machine Learning models without writing code.
nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go
ssusnic/Machine-Learning-Flappy-Bird
Machine learning-powered implementation of the classic Flappy Bird game using neural networks and genetic algorithms.
rentruewang/koila
A Python library that helps prevent CUDA out of memory errors in PyTorch models with just 1 line of code.
fastmachinelearning/hls4ml
A library for running machine learning models on FPGAs using high-level synthesis (HLS) tools.
tum-pbs/PhiFlow
A differentiable PDE solving framework for machine learning tasks that leverage fluid simulations.
xmartlabs/Bender
Bender is a Swift library that makes it easy to build fast neural networks on iOS using TensorFlow models with Metal under the hood.
xavier-zy/Awesome-pytorch-list-CNVersion
A curated list of awesome PyTorch libraries, models, and tutorials in Chinese translation.
OpenPPL/ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
huggingface/transfer-learning-conv-ai
A state-of-the-art conversational AI library using transfer learning and GPT-2 models.
libfann/fann
A C++ library for building fast artificial neural networks (FANN) with various training algorithms.
Franck-Dernoncourt/NeuroNER
A high-performance named-entity recognition library built with state-of-the-art neural networks.
meta-pytorch/tnt
A lightweight PyTorch library with training tools and utilities for deep learning and machine learning developers.
LastAncientOne/Deep_Learning_Machine_Learning_Stock
A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.
vahidk/EffectivePyTorch
A comprehensive library of PyTorch tutorials and best practices for deep learning and machine learning developers.
tensorflow/addons
This is a library of useful extra functionality for TensorFlow 2.x, maintained by the TensorFlow SIG-addons community.
Maratyszcza/NNPACK
Highly optimized library for accelerating neural network inference on multi-core CPUs
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