DarkonToolkit to Hack Your Deep Learning Models
Prodigy Recipes🍳 Recipes for the Prodigy, our fully scriptable annotation tool
QuickmlA fast and easy to use decision tree learner in java
TengineTengine is a lite, high performance, modular inference engine for embedded device
TablesawJava dataframe and visualization library
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
FeatThe code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
FiftyoneThe open-source tool for building high-quality datasets and computer vision models
AlphatoolsQuantitative finance research tools in Python
Gpt2botYour new Telegram buddy powered by transformers
Self Attention CvImplementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
PaddlePArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Pytorch Handbookpytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
StreamlitStreamlit — The fastest way to build data apps in Python
EvostraA fast Evolution Strategy implementation in Python
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
AdatuneGradient based Hyperparameter Tuning library in PyTorch
Catalyst🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
GuitarlstmDeep learning models for guitar amp/pedal emulation using LSTM with Keras.
TapkeeA flexible and efficient С++ template library for dimension reduction
Label ToolWeb application for image labeling and segmentation
Automlpipeline.jlA package that makes it trivial to create and evaluate machine learning pipeline architectures.
AbagailThe library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
DeepresearchThis repository is the collection of research papers in Deep learning, computer vision and NLP.
IvisDimensionality reduction in very large datasets using Siamese Networks
ScoperFuzzy and semantic search for captioned YouTube videos.
FaceimagequalityCode and information for face image quality assessment with SER-FIQ
Nips2016A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
Tensorpackage tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
My Awesome Ai BookmarksCurated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
SpotlightDeep recommender models using PyTorch.
Staple[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"