Hep mlMachine Learning for High Energy Physics.
Stars: ✭ 133 (-95.08%)
Sktime Dlsktime companion package for deep learning based on TensorFlow
Stars: ✭ 379 (-85.98%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+9.32%)
OnnxruntimeONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Stars: ✭ 5,910 (+118.57%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (-13.57%)
EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
Stars: ✭ 154 (-94.3%)
Sklearn BenchmarksA centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
Stars: ✭ 194 (-92.83%)
SkggmScikit-learn compatible estimation of general graphical models
Stars: ✭ 177 (-93.45%)
Dm controlDeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Stars: ✭ 2,592 (-4.14%)
Sota CvA repository of state-of-the-art deep learning methods in computer vision
Stars: ✭ 176 (-93.49%)
MarsMars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Stars: ✭ 2,308 (-14.64%)
AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Stars: ✭ 175 (-93.53%)
Pine🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
Stars: ✭ 202 (-92.53%)
Neuralcoref✨Fast Coreference Resolution in spaCy with Neural Networks
Stars: ✭ 2,453 (-9.28%)
Deep Learning NotesMy personal notes, presentations, and notebooks on everything Deep Learning.
Stars: ✭ 191 (-92.94%)
Scikit PlotAn intuitive library to add plotting functionality to scikit-learn objects.
Stars: ✭ 2,162 (-20.04%)
PqkmeansFast and memory-efficient clustering
Stars: ✭ 189 (-93.01%)
StackingStacked Generalization (Ensemble Learning)
Stars: ✭ 173 (-93.6%)
PywarmA cleaner way to build neural networks for PyTorch.
Stars: ✭ 184 (-93.2%)
VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Stars: ✭ 195 (-92.79%)
Bert Sklearna sklearn wrapper for Google's BERT model
Stars: ✭ 182 (-93.27%)
RadioRadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-92.68%)
Adversarial Robustness ToolboxAdversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Stars: ✭ 2,638 (-2.44%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-92.83%)
KekasJust another DL library
Stars: ✭ 178 (-93.42%)
BmtkBrain Modeling Toolkit
Stars: ✭ 177 (-93.45%)
Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Stars: ✭ 188 (-93.05%)
VipVideo Platform for Action Recognition and Object Detection in Pytorch
Stars: ✭ 175 (-93.53%)
Scikit OptimizeSequential model-based optimization with a `scipy.optimize` interface
Stars: ✭ 2,258 (-16.49%)
QmlIntroductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
Stars: ✭ 174 (-93.57%)
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (-8.39%)
Bet On SibylMachine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
Stars: ✭ 190 (-92.97%)
ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
Stars: ✭ 196 (-92.75%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (-93.6%)
Mem absaAspect Based Sentiment Analysis using End-to-End Memory Networks
Stars: ✭ 189 (-93.01%)
Deep SpyingSpying using Smartwatch and Deep Learning
Stars: ✭ 172 (-93.64%)
Knockknock🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Stars: ✭ 2,304 (-14.79%)
LaleLibrary for Semi-Automated Data Science
Stars: ✭ 198 (-92.68%)
ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Stars: ✭ 196 (-92.75%)
NeurolibEasy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Stars: ✭ 188 (-93.05%)
JaxnetConcise deep learning for JAX
Stars: ✭ 171 (-93.68%)
Shape Detection🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170 (-93.71%)
VirgilioVirgilio is developed and maintained by these awesome people.
You can email us virgilio.datascience (at) gmail.com or join the Discord chat.
Stars: ✭ 13,200 (+388.17%)
NeuralLATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork
Stars: ✭ 169 (-93.75%)
AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (-93.86%)
FreezeoutAccelerate Neural Net Training by Progressively Freezing Layers
Stars: ✭ 196 (-92.75%)