DetectorchDetectorch - detectron for PyTorch
Stars: ✭ 566 (-4.07%)
MellotronMellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data
Stars: ✭ 560 (-5.08%)
Ml Design PatternsSource code accompanying O'Reilly book: Machine Learning Design Patterns
Stars: ✭ 566 (-4.07%)
Python For Data AnalysisAn introduction to data science using Python and Pandas with Jupyter notebooks
Stars: ✭ 564 (-4.41%)
Business Machine LearningA curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
Stars: ✭ 575 (-2.54%)
Practical seq2seqA simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
Stars: ✭ 563 (-4.58%)
TrtorchPyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
Stars: ✭ 583 (-1.19%)
Qs ledgerQuantified Self Personal Data Aggregator and Data Analysis
Stars: ✭ 559 (-5.25%)
Deeplearning.aiSome work of Andrew Ng's course on Coursera
Stars: ✭ 572 (-3.05%)
TutorialsCatBoost tutorials repository
Stars: ✭ 563 (-4.58%)
TturTwo time-scale update rule for training GANs
Stars: ✭ 567 (-3.9%)
FastcorePython supercharged for the fastai library
Stars: ✭ 565 (-4.24%)
PrmlRepository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
Stars: ✭ 560 (-5.08%)
Deep Learning For HackersMachine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Stars: ✭ 586 (-0.68%)
Log Progresshttps://habr.com/ru/post/276725/
Stars: ✭ 556 (-5.76%)
Ada BuildThe Ada Developers Academy Jump Start program, which is intended for anyone who is interested in beginning their journey into coding.
Stars: ✭ 551 (-6.61%)
CleverhansAn adversarial example library for constructing attacks, building defenses, and benchmarking both
Stars: ✭ 5,356 (+807.8%)
Competitive Data ScienceMaterials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Stars: ✭ 551 (-6.61%)
Bert scoreBERT score for text generation
Stars: ✭ 568 (-3.73%)
AutodidactA pedagogical implementation of Autograd
Stars: ✭ 585 (-0.85%)
Functional ZooPyTorch and Tensorflow functional model definitions
Stars: ✭ 577 (-2.2%)
Tensorflow exercisesThe codes I made while I practiced various TensorFlow examples
Stars: ✭ 588 (-0.34%)
PyradiomicsOpen-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
Stars: ✭ 563 (-4.58%)
Pandas CookbookRecipes for using Python's pandas library
Stars: ✭ 5,520 (+835.59%)
Wenzhengai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch
Stars: ✭ 561 (-4.92%)
Gym TradingEnvironment for reinforcement-learning algorithmic trading models
Stars: ✭ 574 (-2.71%)
DatasciencecourseThis holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Stars: ✭ 557 (-5.59%)
TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Stars: ✭ 589 (-0.17%)
Data Science PortfolioPortfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-5.25%)
DablData Analysis Baseline Library
Stars: ✭ 585 (-0.85%)
Gs QuantPython toolkit for quantitative finance
Stars: ✭ 556 (-5.76%)
Tf DannDomain-Adversarial Neural Network in Tensorflow
Stars: ✭ 556 (-5.76%)
Dnc TensorflowA TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
Stars: ✭ 587 (-0.51%)
Torch Residual NetworksThis is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
Stars: ✭ 553 (-6.27%)
ReinforceReinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
Stars: ✭ 552 (-6.44%)
QuaternetProposes neural networks that can generate animation of virtual characters for different actions.
Stars: ✭ 580 (-1.69%)
Cs231My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Stars: ✭ 570 (-3.39%)
KobertKorean BERT pre-trained cased (KoBERT)
Stars: ✭ 591 (+0.17%)
Ml InterviewPreparing for machine learning interviews
Stars: ✭ 586 (-0.68%)
DiracnetsTraining Very Deep Neural Networks Without Skip-Connections
Stars: ✭ 581 (-1.53%)