AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Stars: ✭ 175 (-1.13%)
Coursera✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork
Stars: ✭ 172 (-2.82%)
Thai2fitULMFit Language Modeling, Text Feature Extraction and Text Classification in Thai Language. Created as part of pyThaiNLP
Stars: ✭ 172 (-2.82%)
DebiasweRemove problematic gender bias from word embeddings.
Stars: ✭ 175 (-1.13%)
Lecture Source PySource files for "Lectures in Quantitative Economics" -- Python version
Stars: ✭ 172 (-2.82%)
Kdd18 GluonKDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon
Stars: ✭ 174 (-1.69%)
AsrframeAn Automatic Speech Recognition Frame ,一个中文语音识别的完整框架, 提供了多个模型
Stars: ✭ 171 (-3.39%)
Time series predictionThis is the code for "Time Series Prediction" By Siraj Raval on Youtube
Stars: ✭ 174 (-1.69%)
NelEntity linking framework
Stars: ✭ 176 (-0.56%)
Psi4numpyCombining Psi4 and Numpy for education and development.
Stars: ✭ 170 (-3.95%)
Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✭ 174 (-1.69%)
Sort Google ScholarSorting Google Scholar search results based on the number of citations
Stars: ✭ 170 (-3.95%)
Self Driving CarSelf Driving Car development tools and technologies from GTA Robotics Community members
Stars: ✭ 171 (-3.39%)
Tensorflow Safari CourseExercises and solutions to accompany my Safari course introducing TensorFlow.
Stars: ✭ 171 (-3.39%)
Rnn For Joint NluPytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Stars: ✭ 176 (-0.56%)
ProvinggroundProving Ground: Tools for Automated Mathematics
Stars: ✭ 173 (-2.26%)
IpywebrtcWebRTC for Jupyter notebook/lab
Stars: ✭ 171 (-3.39%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-3.39%)
JetbotAn educational AI robot based on NVIDIA Jetson Nano.
Stars: ✭ 2,391 (+1250.85%)
Deep Crowd Counting crowdnetAn independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
Stars: ✭ 173 (-2.26%)
Dive Into Dl Pytorch本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Stars: ✭ 14,234 (+7941.81%)
Muffin Cupcakeclassifying muffin and cupcake recipes using support vector machines
Stars: ✭ 175 (-1.13%)
DfpReinforcement Learning with Goals
Stars: ✭ 173 (-2.26%)
TutorialsMONAI Tutorials
Stars: ✭ 170 (-3.95%)
Convolutional autoencoderCode for a convolutional autoencoder written on python, theano, lasagne, nolearn
Stars: ✭ 170 (-3.95%)
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 (-2.26%)
Shape Detection🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170 (-3.95%)
Car Damage DetectiveAssessing car damage with convolution neural networks for a personal auto claims expedition use case
Stars: ✭ 169 (-4.52%)
Stata kernelA Jupyter kernel for Stata. Works with Windows, macOS, and Linux.
Stars: ✭ 172 (-2.82%)
MlndUdacity Machine Learning Nano Degree Courses
Stars: ✭ 170 (-3.95%)
Prefetch generatorSimple package that makes your generator work in background thread
Stars: ✭ 174 (-1.69%)
1833018.330 Introduction to Numerical Analysis
Stars: ✭ 171 (-3.39%)
Log Anomaly DetectorLog Anomaly Detection - Machine learning to detect abnormal events logs
Stars: ✭ 169 (-4.52%)
Gate Decorator PruningCode for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"
Stars: ✭ 170 (-3.95%)
Graphlayoutsnew layout algorithms for network visualizations in R
Stars: ✭ 176 (-0.56%)
AudiosignalprocessingformlCode and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
Stars: ✭ 169 (-4.52%)
CaptchaBreaking captchas using torch
Stars: ✭ 174 (-1.69%)
IminuitJupyter-friendly Python interface for C++ MINUIT2
Stars: ✭ 172 (-2.82%)
NotebooksNotebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)
Stars: ✭ 172 (-2.82%)
Cikm 2019 Analyticup1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
Stars: ✭ 173 (-2.26%)
EggEGG: Emergence of lanGuage in Games
Stars: ✭ 175 (-1.13%)
Cs1001.pyRecitation notebooks for Extended Introduction to Computer Science with Python as Tel-Aviv University
Stars: ✭ 176 (-0.56%)