bantiitnab's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
kdn251/interviews
Everything you need to know to get the job.
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
tiangolo/full-stack-fastapi-template
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
nlpyang/BertSum
Code for paper Fine-tune BERT for Extractive Summarization
PyCQA/pycodestyle
Simple Python style checker in one Python file
joho/awesome-code-review
An "Awesome" list of code review resources - articles, papers, tools, etc
wzchen/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
EdwardSmith1884/GEOMetrics
Repo for the paper "GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects"
miguelvr/dropblock
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
BrikerMan/Kashgari
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
avinashpaliwal/Super-SloMo
PyTorch implementation of Super SloMo by Jiang et al.
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
arrow-py/arrow
🏹 Better dates & times for Python
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
shap/shap
A game theoretic approach to explain the output of any machine learning model.
tgsmith61591/smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
melling/MathAndScienceNotes
Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
radekosmulski/whale
zziz/pwc
This repository is no longer maintained.
THUNLP-MT/MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
fastai/courses
fast.ai Courses
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
radekosmulski/quickdraw
1991viet/QuickDraw
Implementation of Quickdraw - an online game developed by Google
perone/medicaltorch
A medical imaging framework for Pytorch