QUVA-Lab / artemisLinks
Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.
☆238Updated last year
Alternatives and similar repositories for artemis
Users that are interested in artemis are comparing it to the libraries listed below
Sorting:
- Future Gadget Laboratory☆221Updated 7 years ago
- Use any TensorFlow model in a single line of code☆152Updated 6 years ago
- A high-level framework for advanced deep learning with TensorFlow☆54Updated 7 years ago
- AI•ON projects repository and website source.☆217Updated 7 years ago
- PyTorch based Deep Learning Toolbox☆204Updated 6 years ago
- Save keras weight matrices as short animated videos during training☆105Updated 7 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- An implementation of the Neural Turing Machine as a keras recurrent layer.☆139Updated 7 years ago
- ☆114Updated 11 months ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆310Updated 11 months ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆484Updated 3 years ago
- A Neural Networking library based on NumPy only☆113Updated last year
- Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.☆354Updated 6 months ago
- LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.☆531Updated 7 years ago
- A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.☆462Updated 6 years ago
- ☆113Updated 2 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- ☆232Updated 3 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆244Updated 7 years ago
- A high-level, rapid development framework for machine learning projects☆345Updated last year
- Dashboard for sacred. Monitor and access your past machine learning experiments.☆184Updated 6 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016☆223Updated 8 years ago
- Implementation of the Differentiable Neural Computer in Tensorflow☆118Updated 7 years ago
- Explore high-dimensional datasets and how your algo handles specific regions.☆107Updated 7 years ago
- ☆215Updated 5 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- Your every day Keras toolbox.☆76Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 3 years ago