EdwardRaff / Quantifying-Independently-Reproducible-MLLinks
☆74Updated 6 years ago
Alternatives and similar repositories for Quantifying-Independently-Reproducible-ML
Users that are interested in Quantifying-Independently-Reproducible-ML are comparing it to the libraries listed below
Sorting:
- learning to search in pytorch☆110Updated 5 years ago
- ☆65Updated 5 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 5 years ago
- ☆104Updated 4 years ago
- Training Transformer-XL on 128 GPUs☆141Updated 5 years ago
- Code repo for "Transformer on a Diet" paper☆31Updated 5 years ago
- ☆83Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- AI/ML citation graph with postgres + graphql☆189Updated 5 years ago
- Weekly humanitarian AI reading group at Mila.☆21Updated 6 years ago
- ☆45Updated 6 years ago
- A demonstration of the attention mechanism with some toy experiments and explanations.☆107Updated 7 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 6 years ago
- Matplotlib examples to present results.☆70Updated 8 years ago
- ☆108Updated 3 years ago
- Experiment orchestration☆102Updated 5 years ago
- Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick☆17Updated 8 years ago
- ☆153Updated 5 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆12Updated 4 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- TBA☆77Updated 6 years ago
- ARCADE198 Dataset from the ACL 2018 MRQA Workshop☆15Updated 7 years ago
- Configure Python functions explicitly and safely☆128Updated last year
- ☆20Updated 6 years ago
- Make quick mechanical turk HTML/Javascript interfaces and launch them with Python functions☆41Updated 4 years ago
- Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods☆96Updated 4 years ago
- ☆48Updated 7 years ago
- Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…☆53Updated 5 years ago
- Evaluate your word embeddings☆35Updated 6 years ago
- Code and data for the CoNLL 2018 paper "Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge."☆25Updated 6 years ago