There are no reviews yet. Be the first to send feedback to the community and the maintainers!
tfpyth
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).llm-strategy
Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Typestoma
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memoryBatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.dart_repl
Proof of concept REPL shell for Dartbatchbald_redux
Reusable BatchBALD implementationmdp
Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.llmtracer
Trace LLM calls (and others) and visualize them in WandB, as interactive SVG or using a streaming local webappplayer_of_jeopardy
ChatGPT can solve Jeopardy! clues really well!chatplayground
Chat Playground for LLMsddu_dirty_mnist
Dirty-MNIST dataset introduced in "Deterministic Neural Networks with Inductive Biases Capture Epistemic and Aleatoric Uncertainty" (https://arxiv.org/abs/2102.11582)pbt
Jupyter notebooks to play around with population based training, as described in https://arxiv.org/abs/1711.09846blackboard-pagi
2302.08981
batch_pong_poc
Instead of running one environment at a time or one per thread, run everything in batch using numpy on a single core.hello-slurm
pytorch_datadiet
laaos
Logs as append-only source.implicit_lambda
This package adds support for implicit lambdas, so you can write `map(_ + 5, a_list)` instead of `map(lambda x: x + 5, a_list)`.dlb_chapter2
WML
Whitespace Markup Language2020_ebm_presentation
A presentation about EBMs and Hopfield networks @ OATML2202.01851
Repository for 'A Note on "Assessing Generalization of SGD via Disagreement"'algo_fairness
2208.00549
Unifying Approaches in Data Subset Selection - ExperimentsLove Open Source and this site? Check out how you can help us