Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-94.65%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-97.82%)
Autograd.jlJulia port of the Python autograd package.
Stars: ✭ 147 (-92.36%)
Dm HaikuJAX-based neural network library
Stars: ✭ 1,010 (-47.53%)
Qualia2.0Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.
Stars: ✭ 41 (-97.87%)
Automl alexState-of-the art Automated Machine Learning python library for Tabular Data
Stars: ✭ 132 (-93.14%)
DapsDenoising Autoencoders for Phenotype Stratification
Stars: ✭ 39 (-97.97%)
Pnasnet.tfTensorFlow implementation of PNASNet-5 on ImageNet
Stars: ✭ 102 (-94.7%)
Awesome Automlcollecting related resources of automated machine learning here
Stars: ✭ 39 (-97.97%)
Emotion Recognition Using SpeechBuilding and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Stars: ✭ 159 (-91.74%)
DfaceDeep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
Stars: ✭ 994 (-48.36%)
Dbn CudaGPU accelerated Deep Belief Network
Stars: ✭ 38 (-98.03%)
Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Stars: ✭ 132 (-93.14%)
FlynetOfficial PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324
Stars: ✭ 37 (-98.08%)
SertSemantic Entity Retrieval Toolkit
Stars: ✭ 100 (-94.81%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-92.42%)
FlexneuartFlexible classic and NeurAl Retrieval Toolkit
Stars: ✭ 99 (-94.86%)
Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-98.23%)
RobinRObust document image BINarization
Stars: ✭ 131 (-93.19%)
TftfTensorFlow TransFormer🍔
Stars: ✭ 34 (-98.23%)
Strike With A PoseA simple GUI tool for generating adversarial poses of objects.
Stars: ✭ 70 (-96.36%)
Mljar SupervisedAutomated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (-50.08%)
Zi2ziLearning Chinese Character style with conditional GAN
Stars: ✭ 1,988 (+3.27%)
Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
Stars: ✭ 32 (-98.34%)
AdvisorOpen-source implementation of Google Vizier for hyper parameters tuning
Stars: ✭ 1,359 (-29.4%)
Pytorch NiceImplementation of non-linear independent components estimation (NICE) in pytorch
Stars: ✭ 31 (-98.39%)
E3d lstme3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond
Stars: ✭ 129 (-93.3%)
Mad TwinnetThe code for the MaD TwinNet. Demo page:
Stars: ✭ 99 (-94.86%)
Remo Python🐰 Python lib for remo - the app for annotations and images management in Computer Vision
Stars: ✭ 138 (-92.83%)
OpenannAn open source library for artificial neural networks.
Stars: ✭ 117 (-93.92%)
EhcfThis is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)
Stars: ✭ 70 (-96.36%)
ServenetService Classification based on Service Description
Stars: ✭ 21 (-98.91%)
AutoalbumentAutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Stars: ✭ 99 (-94.86%)
Scarpet NnTools and libraries to run neural networks in Minecraft ⛏
Stars: ✭ 129 (-93.3%)
MoverbotsA small Unity AI game built with ML-agents v0.5
Stars: ✭ 13 (-99.32%)
Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Stars: ✭ 97 (-94.96%)
AvalancheAvalanche: a End-to-End Library for Continual Learning.
Stars: ✭ 151 (-92.16%)
Factorized TdnnPyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Stars: ✭ 98 (-94.91%)
1833718.337 - Parallel Computing and Scientific Machine Learning
Stars: ✭ 834 (-56.68%)
JevoisJeVois smart machine vision framework
Stars: ✭ 128 (-93.35%)
Drl4nlp.scratchpadNotes on Deep Reinforcement Learning for Natural Language Processing papers
Stars: ✭ 26 (-98.65%)
The Nlp PandectA comprehensive reference for all topics related to Natural Language Processing
Stars: ✭ 1,349 (-29.92%)
DeepmriThe code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'
Stars: ✭ 25 (-98.7%)
Mlmodelsmlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...
Stars: ✭ 145 (-92.47%)
Clearml AgentClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
Stars: ✭ 117 (-93.92%)
Ai Residency ListList of AI Residency & Research programs, Ph.D Fellowships, Research Internships
Stars: ✭ 69 (-96.42%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+21.4%)
Brain BitsA P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.
Stars: ✭ 138 (-92.83%)
TorchganResearch Framework for easy and efficient training of GANs based on Pytorch
Stars: ✭ 1,156 (-39.95%)
LovaszsoftmaxCode for the Lovász-Softmax loss (CVPR 2018)
Stars: ✭ 1,148 (-40.36%)
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Stars: ✭ 67 (-96.52%)