1847 Open source projects that are alternatives of or similar to Ailearning

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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Flask API for training and predicting using scikit learn models

Shiny dashboard for Land Use Regression modelling

🎓 Tidy regression tools for academics

python从最基础的语法历经网络基础、前端基础、后端基础和爬虫与数据基础走向机器学习

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Cryptocurrency Price Prediction Using LSTM neural network

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Experiment diverse Deep learning models for music generation with TensorFlow

A curated list of project tutorials for project-based learning.

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Python文本挖掘系统 Research of Text Mining System

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction

DeepFaceLab is the leading software for creating deepfakes.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Custom implementation of Corrleation Module

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

The Operator Splitting QP Solver

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

This is the implementation of paper <Additive Margin Softmax for Face Verification>

🥕 Evolutionary Neural Networks in JavaScript

An Open Source Modular Framework From Face to FACS Based Avatar Animation (Unity3D / Blender)

subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

Convert TensorFlow models to ONNX

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

mlr3: Machine Learning in R - next generation

Distributed scikit-learn meta-estimators in PySpark

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

通过HOG+SVM训练进行行人检测，行人数据库使用INRIAPerson，程序基于OpenCV实现

Java Statistical Analysis Tool, a Java library for Machine Learning

sliced-rnn

A LSTM model using Risk Estimation loss function for stock trades in market

Regression, Scrapers, and Visualization

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

No description or website provided.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Implementation of papers for text classification task on DBpedia

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

LSTM based on go and gorgonia

This is the page for the book Digital Signal Processing with Kernel Methods.

Neural Turing Machines (NTM) - PyTorch Implementation

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

No description or website provided.

Sequence to Sequence Models with PyTorch

PyTorch Tutorial (1.7)

Feature engineering package with sklearn like functionality

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)