6306 Open source projects that are alternatives of or similar to Ilearndeeplearning.py

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Statistical Rethinking (2nd ed.) with NumPyro

📚 Various cheatsheets in PDF

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

공공데이터 분석

image processing codes to understand algorithm

This is Andrew NG Coursera Handwritten Notes.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Grokking Deep Reinforcement Learning

Train a state-of-the-art yolov3 object detector from scratch!

Achieve your marketing goals with the data analytics power of Python

This repository consists of all my Machine Learning Projects.

How to build RNNs and LSTMs from scratch with NumPy.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Combining Psi4 and Numpy for education and development.

Functionalities in Excel translated to Python

Machine Learning notebooks for refreshing concepts.

Repository to store sample python programs for python learning

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Several simple music synthesizers in Python 3. Input from ABC or MIDI files is also supported.

Python notes in Turkish.

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Data science teaching materials

Use Transformers and LSTMs to learn Python source code

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Performance analysis of predictive (alpha) stock factors

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

numsca is numpy for scala

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A journey into Convolutional Neural Network visualization

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Technical Analysis Library using Pandas and Numpy

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

A clear, concise, simple yet powerful and efficient API for deep learning.

📓 deepleaning and cv notes.

Data science and Big Data with Python

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

This repository helps you understand python from the scratch.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A workshop for scientific computing in Python. ( December 2017 )

Deep learning library in python from scratch

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

a collection of my notes on deep learning

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

中文 Python 笔记

Project for Digital Image Processing