ahug / amld-pytorch-workshop
Introduction to PyTorch Workshop at the AMLD 2019
☆31Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for amld-pytorch-workshop
- ☆26Updated 5 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆15Updated 7 years ago
- ☆45Updated 5 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆38Updated 3 years ago
- Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando☆31Updated 7 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick☆16Updated 7 years ago
- Analogs of Linguistic Structure in Deep Representations☆19Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- ☆11Updated 4 years ago
- ☆50Updated 6 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆22Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 6 years ago
- Blazingly fast capsule networks in 75 lines of pytorch+einops☆26Updated 3 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Converts Quora's new NLU dataset to SNLI txt/jsonl format, plus test/dev split, tokenization.☆14Updated 7 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆9Updated 2 years ago
- Generative Latent Attentive Sampler☆26Updated 7 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆11Updated 3 years ago
- Python implementation of projection losses.☆25Updated 4 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆10Updated 4 years ago