RecnnRepository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"
Stars: ✭ 45 (-95.72%)
Ngcm TutorialMaterials for the IPython/Jupyter workshop at the NGCM Summer Academy, at Southampton University, Boldrewood campus.
Stars: ✭ 44 (-95.82%)
LigdreamNovel molecules from a reference shape!
Stars: ✭ 47 (-95.53%)
Latent dirichlet allocationThis is the Code for "Generative Models - The Math of Intelligence #8" By Siraj Raval on Youtube
Stars: ✭ 44 (-95.82%)
Play With Machine Learning AlgorithmsCode of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Stars: ✭ 1,037 (-1.43%)
Parlai agents# ParlAI Agent examples with PyTorch, Chainer and TensorFlow
Stars: ✭ 44 (-95.82%)
AmldataprepdocsDocumentation for Microsoft Azure Machine Learning Data Preparation
Stars: ✭ 49 (-95.34%)
Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
Stars: ✭ 44 (-95.82%)
Price ForecasterForecasting the future prices of BTC and More using Machine and Deep Learning Models
Stars: ✭ 47 (-95.53%)
ElemnetDeep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
Stars: ✭ 44 (-95.82%)
Word2vec訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.
Stars: ✭ 48 (-95.44%)
Midi MinerPython MIDI track classifier and tonal tension calculation based on spiral array theory
Stars: ✭ 44 (-95.82%)
Big data benchmarksbig data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
Stars: ✭ 44 (-95.82%)
Spark TutorialsCode and Notebooks for Spark Tutorials for Learning Journal @ Youtube
Stars: ✭ 49 (-95.34%)
Sub GcCode repository for our paper "Comprehensive Image Captioning via Scene Graph Decomposition" in ECCV 2020.
Stars: ✭ 46 (-95.63%)
BnetBatch Normalization with Enhanced Linear Transformation
Stars: ✭ 44 (-95.82%)
Machine learning from scratchA place to hold various "from scratch" machine learning algorithms developed in Python as pedagogical tools.
Stars: ✭ 48 (-95.44%)
Reinforcement Learning NotebooksA collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
Stars: ✭ 1,020 (-3.04%)
Tensorflow IpyVM with the TensorFlow library from Google
Stars: ✭ 46 (-95.63%)
ProbfitCost function builder. For fitting distributions.
Stars: ✭ 43 (-95.91%)
RepsychlingData sets from subject/item type studies in Psychology and Linguistics
Stars: ✭ 43 (-95.91%)
FlashlightFlashlight is a lightweight Python library for analyzing and solving quadrotor control problems.
Stars: ✭ 46 (-95.63%)
EegclassificationmcnnSolution for EEG Classification via Multiscale Convolutional Net coded for NeuroHack at Yandex.
Stars: ✭ 46 (-95.63%)
Randomized Svddemos for PyBay talk: Using Randomness to make code faster
Stars: ✭ 49 (-95.34%)
LabelmytextwidgetJupyter notebook widget to quickly label text data
Stars: ✭ 43 (-95.91%)
Da TutorialsCourse on data assimilation (DA)
Stars: ✭ 43 (-95.91%)
Sdc System IntegrationSelf Driving Car Engineer Nanodegree System Integration Capstone Project
Stars: ✭ 46 (-95.63%)
Reaction DiffusionSome Python examples to obtain reaction-diffusion results and animations.
Stars: ✭ 47 (-95.53%)
Ce9010 2018Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
Stars: ✭ 46 (-95.63%)
LovebeatSuper simple heartbeat and metrics monitoring
Stars: ✭ 42 (-96.01%)
Twitter PostThis code shows how to get Twitter users interests combining Twitter API and MonkeyLearn.
Stars: ✭ 42 (-96.01%)
Machine learning bookshelf机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.
Stars: ✭ 46 (-95.63%)
Ml Tutorial NotebooksThis depot contain tutorials for real beginners who want to understand machine learning by reading some code.
Stars: ✭ 42 (-96.01%)
Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stars: ✭ 48 (-95.44%)
Mckinsey Smartcities Traffic PredictionAdventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Stars: ✭ 49 (-95.34%)
Mom6 ExamplesExample configurations for MOM6 and SIS2
Stars: ✭ 47 (-95.53%)
Aind2 RnnProject materials for RNN segment of AIND nanodegree
Stars: ✭ 45 (-95.72%)