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links-uteis's Introduction
- 37 Reasons why your Neural Network is not working. post
- AR-MDN: AR-MDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting. paper
- Are categorical variables getting lost in your random forests? post
- Artificial Neural Networks Applied to Taxi Destination Prediction. paper
- Avoiding headaches with tf.metrics. post
- Beyond Word Embeddings Part 2. post
- Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning, A. post
- CS230 (Deep Learning) notes
- Cross-validation based Nonlinear Shrinkage. paper
- DCGAN Faces Tutorial. post
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks. paper
- Deep Learning. book
- Deep contextualized word representations. paper repo
- Do Not Log-Transform Count Data, Bitches! post
- Dopamine: a research framework for fast prototyping of reinforcement learning algorithms. repo
- Efficient Learning using Forward-Backward Splitting. paper
- Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks. post
- Fixup normalization: residual learning without normalization. paper
- Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach. paper
- Guide for using the Wavelet Transform in Machine Learning, A. post
- Improved Variational Inference with Inverse Autoregressive Flow. paper
- Layer Normalization. paper
- Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon. paper
- Mixture Density Network. paper
- Mixture Density Networks implementation for distribution and uncertainty estimation. repo
- Neural Processes. paper repo
- Non-parametric Estimation of Integral Probability Metrics. paper
- Nevergrad: An open source tool for derivative-free optimization. post
- Normalizing Flows. post
- Open sourcing TRFL: a library of reinforcement learning building blocks. post
- Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization. paper
- Optimal reconciliation approach, The. post
- Papers with Code. repo
- PyTorch Recipes: A Problem-Solution Approach. book
- Review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition, A. paper
- Sample Efficient Adaptive Text-to-Speech. paper demo
- Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. link
- Spinning Up in Deep RL. link
- SOTAWHAT: Returns latest research results by crawling arxiv papers and summarizing abstracts. link
- Style-Based Generator Architecture for Generative Adversarial Networks, A. link
- Tensorflow and deep learning without a PhD series. repo
- TensorFlow Reduces Time Taken For Metaheuristics To 0.1% Of The Original Time. post
- Variational Inference with Normalizing Flows. paper
- World Models. demo
- ways to do gradients clipping and learning rate decay in tensorflow. gist
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