gavinkhung/machine-learning-visualized
quality grade C, 60 out of 100ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,688 results
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
Official github repository for Fast Artificial Neural Network Library (FANN)
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
Deep learning in Rust, with shape checked tensors and neural networks
Recommender Learning with Tensorflow2.x
JAX - A curated list of resources https://github.com/google/jax
simple neural network library in ANSI C
Convolutional recurrent network in pytorch
Everything we actually know about the Apple Neural Engine (ANE)
🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
Machine learning glossary
a delightful machine learning tool that allows you to train, test, and use models without writing code
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Facilitating the design, comparison and sharing of deep text matching models.
Plain python implementations of basic machine learning algorithms
【干货】史上最全的PyTorch学习资源汇总
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
A C++ standalone library for machine learning
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