bnojavan Goto Github PK

aesthetics

alibi-detect

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

attngan

awesome-mlops

A curated list of references for MLOps

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bnojavan

bodyattentionnetwork

Learning Bodily and Temporal Attention in Protective Movement Behavior Detection

captum

Model interpretability and understanding for PyTorch

cmu-ammml-project

Project for the Advanced Multimodal Machine Learning course at CMU.

deeprecommender

Deep learning for recommender systems

emopainchallenge2020

FG 2020 EmoPain Challenge: Pain-related Behavior Analysis

emoreact

facial-expressions-in-dyadic-interactions

Generating photorealistic facial expressions for multiple virtual identities in dyadic interactions by using the GAN model.

fairscale

PyTorch extensions for high performance and large scale training.

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

generative-ai

Sample code and notebooks for Generative AI on Google Cloud

gensim

Topic Modelling for Humans

hand2face

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

keras

Deep Learning for humans

models

Models and examples built with TensorFlow

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

pysyft

A library for encrypted, privacy preserving machine learning

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

recommenders

Best Practices on Recommendation Systems

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

shap

A game theoretic approach to explain the output of any machine learning model.