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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.mnist_by_zip
Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)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/1711.098462302.08981
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