lixzhang

slowfast-original

ML-Notebooks-Python

ML-Notebooks-R

code_snippets

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

dfply

dplyr-style piping operations for pandas dataframes

doc-repos

face_recognition

The world's simplest facial recognition api for Python and the command line

labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lixzhang

Config files for my GitHub profile.

machine-learning-systems-design

A booklet on machine learning systems design with exercises

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mmaction

nn-zero-to-hero

Neural Networks: Zero to Hero

pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

pipelines-anaconda

Example of creating and activating Anaconda environments on different OSs with Azure Pipelines

pipelines-java

Sample Java application referred to by Azure Pipelines documentation

python_roytuts

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rliable

Library for reliable evaluation on RL and ML benchmarks, as recommended by our NeurIPS 2021 Outstanding Paper.

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

spiderlog

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

system-design-interview

System design interview for IT companies

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

test

tooth-detection

🦷 Detection of restorations and treatments on dental x-rays in Tensorflow, using Faster-RCNN

transformer-training