Author: fishingsnow
612 Posts
Introduction to the Numba library
Understanding Support Vector Machine algorithm from examples (along with code)
Primer on Neural Network Models for Natural Language Processing
Deep Learning : What & Why ?
Challenges in Deep Learning
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning
A New Semantic Theory of Natural Language
When Waiting is not an Option : Learning Options with a Deliberation Cost
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning
Network Classification and Categorization
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding
Probabiliy theory basics
Clustering with pytorch
Dynamics of New York city – Animation
Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Implementations of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials
Deep Learning Papers Reading Roadmap
Research Progress and Application of Convolutional Neural Network
Local Community Detection in Dynamic Networks
Refining Source Representations with Relation Networks for Neural Machine Translation
Variational Reasoning for Question Answering with Knowledge Graph
The strange geometry of skip-gram with negative sampling
Gradient Trader Part 1: The Surprising Usefulness of Autoencoders
Data Security for Data Scientists
OpenNMT: Open-source Toolkit for Neural Machine Translation
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Hash Embeddings for Efficient Word Representations
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds
Continuous-Time Flows for Deep Generative Models
Deep Subspace Clustering Networks
DeepChart – Generate images of neural network achitectures
Oxford Course on Deep Learning for Natural Language Processing
Learning to Optimize with Reinforcement Learning
The Google Brain Team’s Approach to Research
Open Sourcing Model Evaluation on Numerai
Let’s Write a Decision Tree Classifier from Scratch: Machine Learning Recipes #8
Python Seaborn Cheat Sheet For Statistical Data Visualization
Practical Python Data Science Techniques
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting
Towards Proving the Adversarial Robustness of Deep Neural Networks
Deep Residual Networks and Weight Initialization
Sentiment Polarity Detection for Software Development
Simultaneous Dimension Reduction and Clustering via the NMF-EM Algorithm
Build and Visualize Word2Vec Model on Amazon Reviews
Deceptive Spam Review Detection With Cnn Using Tensorflow | ExpertML
Deep NLP-based Recommenders at Finn.no
Named Entity Recognition and the Road to Deep Learning
Chatbots with Machine Learning: Building Neural Conversational Agents
12 cool things you can do with GitHub
Deep Learning for Object Detection: A Comprehensive Review
Experiments with a New Loss Term Added to the Standard Cross entropy
Integrating convolutional neural networks into enterprise applications
Scalable Machine Learning
Semantic trees for training word embeddings with hierarchical softmax
Running Jupyter Notebook on Google Cloud Platform in 15 min
TOP 100 Python articles on medium (until Jan 2017)
Second attempt at building a language translator – Using a sequence-to-sequence model with attention
A Brief Introduction to Machine Learning for Engineers
Prosocial learning agents solve generalized Stag Hunts better than selfish ones
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting
Deep Residual Networks and Weight Initialization
Reinforcement Learning Toolbok
What the Hell is Perceptron?
Some Useful Links on Neural Machine Translation
Under The Hood of Neural Network Forward Propagation — The Dreaded Matrix Multiplication
Training RNNs as Fast as CNNs
Machine learning \& artificial intelligence in the quantum domain
Covariances, Robustness, and Variational Bayes
On the exact relationship between the denoising function and the data distribution
Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries
How to sort a distance matrix
Build your own Machine Learning Visualizations with the new TensorBoard API
DeepRecommender – Deep learning for recommender systems
How to Generate FiveThirtyEight Graphs in Python
Introducing Studio.ML: an Open Source Framework that Simplifies and Expedites Machine Learning Model Development
The State of Data Visualization
Embedded Binarized Neural Networks
CONE: Community Oriented Network Embedding
An unsupervised long short-term memory neural network for event detection in cell videos
Adaptive PCA for Time-Varying Data
Database Learning: Toward a Database that Becomes Smarter Every Time
Understanding LSTM in Tensorflow(MNIST dataset)
What Killed the Curse of Dimensionality?
AllenNLP – An open-source NLP research library, built on PyTorch
Top 150 medium articles related with Big Data, Data Science and Data Visualization
Learning Neural Word Salience Scores
Stochastic Gradient Descent: Going As Fast As Possible But Not Faster
Compositional Approaches for Representing Relations Between Words: A Comparative Study
Unsupervised feature learning with discriminative encoder
A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality Estimation
