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face-mask-detection

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

fishai

folding_tools

A collection of *fold* tools

gcdt

Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

geodiff

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

github-templates

A collection of templates and documentation to help you manage your mod repos on GitHub.

gt-cnn

GT fold classification

high-performance-face-recognition

🔥🔥Several High-Performance Models for Unconstrained/Large-Scale/Low-Shot Face Recognition🔥🔥

knowledge-distillation-in-keras

Demonstrates knowledge distillation for image-based models in Keras.

leetcode-1

👏🏻 leetcode solutions for Humans™

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

machine-learning-for-proteins

Listing of papers about machine learning for proteins.

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

marta

medical-transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

ml_equations_latex

Classical ML equations in Latex, helps paper and blog writing

ml_prep

Machine Learning interview prep guide

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

must-read-papers-for-ml

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

nlnl-negative-learning-for-noisy-labels

NLNL: Negative Learning for Noisy Labels

noisystudent

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

numpy-ml

Machine learning, in numpy

openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

openprotein

A PyTorch framework for prediction of tertiary protein structure

pplm

Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

proteindatasets

Creating and manipulating various protein sequence-structure datasets using Python, Julia, and other tools.

proteingan

proteinmpnn

Code for the ProteinMPNN paper

proteinnet

Standardized data set for machine learning of protein structure