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adaboost-implementation

Implementation of AdaBoost algorithm in Python

annotated-transformer

An annotated implementation of the Transformer paper.

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

cs224n

Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020

cv_interview

I hope this repo can help you a lot!

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dl-algorithm-summary

深度学习总结，包含基础知识、目标检测、目标跟踪、目标分类，深度学习八股文，相关竞赛等

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

finrl

FinRL: Financial Reinforcement Learning. 🔥

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

imputefin

Imputation of Financial Time Series with Missing Values and/or Outliers

investing-with-machine-learning

Using machine learning to discern characteristics of companies that perform well over a long term period.

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nonstationary_transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

pytorch-mnist-example

First example

some-machine-learning-notebook

notebooks with example for machine learning examples

ssd-variants

PyTorch implementation of several SSD based object detection algorithms.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockprediction

Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.

time-series-transformer-pytorch

transformer-time-series-forecasting

Transformer time series forecast