BlackHC/algo_fairness

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Created over 6 years ago
Updated over 6 years ago

BlackHC/algo_fairness

BlackHC

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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 Types

toma

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

BatchBALD

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

dart_repl

Proof of concept REPL shell for Dart

batchbald_redux

Reusable BatchBALD implementation

Jupyter Notebook

mdp

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)

Jupyter Notebook

llmtracer

Trace LLM calls (and others) and visualize them in WandB, as interactive SVG or using a streaming local webapp

player_of_jeopardy

ChatGPT can solve Jeopardy! clues really well!

chatplayground

Chat Playground for LLMs

ddu_dirty_mnist

Dirty-MNIST dataset introduced in "Deterministic Neural Networks with Inductive Biases Capture Epistemic and Aleatoric Uncertainty" (https://arxiv.org/abs/2102.11582)

Jupyter Notebook

pbt

Jupyter notebooks to play around with population based training, as described in https://arxiv.org/abs/1711.09846

Jupyter Notebook

blackboard-pagi

2302.08981

Jupyter Notebook

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.

Jupyter Notebook

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 Language

2020_ebm_presentation

A presentation about EBMs and Hopfield networks @ OATML

2202.01851

Repository for 'A Note on "Assessing Generalization of SGD via Disagreement"'

Jupyter Notebook

2208.00549

Unifying Approaches in Data Subset Selection - Experiments

Jupyter Notebook