Lime: Explaining the predictions of any machine learning classifier
Lime: Explaining the predictions of any machine learning classifier
A library that implements fairness-aware machine learning algorithms
A library that implements fairness-aware machine learning algorithms
Interpretability and explainability of data and machine learning models
Interpretability and explainability of data and machine learning models
A Simple Baseline for Bayesian Uncertainty in Deep Learning
A Simple Baseline for Bayesian Uncertainty in Deep Learning
MONAI Deploy App SDK offers a framework and associated tools to design
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
A Large-Scale PyTorch Language Model trained on the 1-Billion Word (LM1B) / (GBW) dataset
A Large-Scale PyTorch Language Model trained on the 1-Billion Word (LM1B) / (GBW) dataset
A large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100
PASS: Pictures without humAns for Self-Supervised Pretraining
PASS: Pictures without humAns for Self-Supervised Pretraining
Merlion: A Machine Learning Framework for Time Series Intelligence
Merlion: A Machine Learning Framework for Time Series Intelligence
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
The first alphamev MEV competition with best AUC (0.9893) and MSE (0.0982)
The first alphamev MEV competition with best AUC (0.9893) and MSE (0.0982)
Labelling platform for text using distant supervision
Labelling platform for text using distant supervision
A simple yet super powerful optuna-based Hyperparameters Optimization Framework that requires no coding
easyopt is a super simple yet super powerful optuna-based Hyperparameters Optimization Framework that requires no coding
Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network
Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network
Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis
Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
A Tensorflow based library for Time Series Modelling with Gaussian Processes
A Tensorflow based library for Time Series Modelling with Gaussian Processes
Dynamic Attentive Graph Learning for Image Restoration
Dynamic Attentive Graph Learning for Image Restoration
A modular platform built to make AI experimentation accessible and fun
piSTAR Lab is a modular deep reinforcement learning platform built to make AI experimentation accessible and fun.
Twitter COVID-19 Sentiment Analysis in python
This project uses unsupervised machine learning to identify correlations between daily inoculation rates in the USA and twitter sentiment in regards to COVID-19.
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Tensorforce: a TensorFlow library for applied reinforcement learning
Tensorforce: a TensorFlow library for applied reinforcement learning
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Tree-Structured Long Short-Term Memory Networks in PyTorch
Tree-Structured Long Short-Term Memory Networks in PyTorch
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
A ViZDoom agent trained by reinforcement learning
DoomNet is a ViZDoom agent trained by reinforcement learning.
A PyTorch implementation of Evolution Strategies
A PyTorch implementation of Evolution Strategies
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
SSD: Single Shot MultiBox Object Detector in PyTorch
A PyTorch Implementation of Single Shot MultiBox Detector
Realtime Multi-Person Pose Estimation in python
Realtime Multi-Person Pose Estimation in python
Multi Person PoseEstimation By PyTorch
Multi Person PoseEstimation By PyTorch
Learning Auto-Punctuation by Reading Engadget Articles with pytorch
A pytorch implementation of auto-punctuation learned character by character
Anchored CorEx: Hierarchical Topic Modeling with Minimal Domain Knowledge
Anchored CorEx: Hierarchical Topic Modeling with Minimal Domain Knowledge
An open source Python library for exploring state-of-the-art deep learning topologies and techniques
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Multilingual Latent Dirichlet Allocation (LDA) Pipeline in Python
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python
The dataset downloader for natural language processing
The dataset downloader for natural language processing
Simplify stop motion animation with machine learning
Simplify stop motion animation with machine learning
A set of packages for computer vision built on top of popular deep learning libraries
A set of packages for computer vision built on top of popular deep learning libraries
Logging MXNet data for visualization in TensorBoard
Logging MXNet data for visualization in TensorBoard
A Python library for calibrating Machine Learning models' confidence scores
MACEst is a confidence estimator that can be used alongside any model (regression or classification) which uses previously seen data (i.e. any supervised learning model) to produce a point prediction.
BatchFlow: Conveniently work with random or sequential batches of your data
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
IC-GAN: Instance-Conditioned GAN in python
Official repository for the paper "Instance-Conditioned GAN"
Towards Flexible Blind JPEG Artifacts Removal in python
Towards Flexible Blind JPEG Artifacts Removal in python
Efficient Sparse Attacks on Videos using Reinforcement Learning
Efficient Sparse Attacks on Videos using Reinforcement Learning
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
A machine learning library for spiking neural networks
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware
Learning based AI for playing multi-round Koi-Koi hanafuda card games
Learning based AI for playing multi-round Koi-Koi hanafuda card games
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction
TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction