Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

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Awesomemlmath

Curated list to learn the math basics for machine learning

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Torchfold

Tools for PyTorch

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Mcmc

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

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Aidl kb

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

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Delira

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

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Spectralcluster

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

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Amazing Feature Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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Fglab

Future Gadget Laboratory

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Awesome Nlprojects

List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist

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Neural Network P5

Deprecated! See:

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Sagemaker Spark

A Spark library for Amazon SageMaker.

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Ksql Udf Deep Learning Mqtt Iot

Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data

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Auto viml

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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Awesome Financial Nlp

Researches for Natural Language Processing for Financial Domain

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Libonnx

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

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Gwu data mining

Materials for GWU DNSC 6279 and DNSC 6290.

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Keras Gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

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Gqcnn

Python module for GQ-CNN training and deployment with ROS integration.

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Poincare Embedding

Poincaré Embedding (unofficial)

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Cardio

CardIO is a library for data science research of heart signals

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Text Classification

自然语言处理项目，目标是对文本进行分类。

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Lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

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50 Days Of Ml

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

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Arima Lstm Hybrid Corrcoef Predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

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Tcdf

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

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Example Mediapipe Udp

Connecting openFrameworks to Google MediaPipe Machine Learning Framework over UDP

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Paddlehelix

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

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Probabilistic Models

Collection of probabilistic models and inference algorithms

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3dmmasstn

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

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Neuralnetworksanddeeplearning.com.pdf

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

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Ml Feynman Experience

A collection of analytics methods implemented with Python on Google Colab

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Ig65m Pytorch

PyTorch 3D video classification models pre-trained on 65 million Instagram videos

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Rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.