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a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

active-learning

active-nlp

Bayesian Deep Active Learning for Natural Language Processing Tasks

active_learning

awesome-data-labeling

A curated list of awesome data labeling tools

awesome-deep-learning-papers

The most cited deep learning papers

babble

A system for generating training labels via natural language explanations

chmm-alt

Code for "BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition"

compgi99

courses

fast.ai Courses

dppy

Python library for sampling Determinantal Point Processes

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

find

Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"

flask-google-calendar-api-project

Deliberate Practice for Learning Flask

flax

gitignore

A collection of useful .gitignore templates

gpregression

simple code to play around with gaussian process regression and approximations

gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

gssm

Gaussian State Space Models

hilc_demo

Source code repository for the HILC project

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

l2hmc

lal-rl

This is a new version of Learning Active Learning which uses reinforcement learning

langchain

⚡ Building applications with LLMs through composability ⚡

lasagne

Lightweight library to build and train neural networks in Theano

model_search

openai-cookbook

Examples and guides for using the OpenAI API

pilco

PILCO in TensorFlow

prompt-engineering-guide

:octopus: Guide and resources for prompt engineering

pysgmcmc

Stochastic Gradient MCMC Methods for Tensorflow