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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

autm-rb

Another theme for Jekyll

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

awesome-deep-trading

List of awesome resources for machine learning-based algorithmic trading

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-ocr

Links to awesome OCR projects

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

daily-coding-problem-solutions

🎓🖥️ Solutions for 350+ Interview Questions asked at FAANG and other top tech companies

darknet

Convolutional Neural Networks

das2018-tutorial

A tutorial on the PyTorch-based ocropus components.

dl_topics

List of DL Topics and resources essential for cracking interviews

electronchess

Chess developed in Electron

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

influxdb-r

R library for InfluxDB

juliet_i_love_you

Scripts and utils

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolov3-model-set

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

mayo

Mayo Clinic - STRIP AI

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

ml-pen-and-paper-exercises

Pen and paper exercises in machine learning

mobilenetv2-yolov3

yolov3 with mobilenetv2 and efficientnet

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

ncvreg

Regularization paths for SCAD- and MCP-penalized regression models

newsrss

Python News / RSS reader in the terminal using Textual

ocr_expiration_date

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)