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alphafold

Open source code for AlphaFold.

alphageometry

bilevel-graph-neural-network

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop

bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

biobert

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

causal-flows

credit-risk-modelling

Credit-Risk Modelling Libraries

cs224d

Deep Learning for NLP

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplearning

deeptype

Design, evolve, and train neural type systems.

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

easytemporalpointprocess

EasyTPP: Towards Open Benchmarking Temporal Point Processes

enn

get3d

handson-recsys2020

horizon

A platform for Applied Reinforcement Learning (Applied RL)

ita-matrix-powertools

kernel-gof

an interpretable linear-time kernel goodness-of-fit test

melting-pot-contest-2023

memorize

Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019

meshdiffusion

Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)

natural-language-process

CS224d: Deep Learning for Natural Language Processing

neurosymbolic_tutorial

recurrent-entity-networks

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

roamresearch

senteval

A python tool for evaluating the quality of sentence embeddings.

springbroker-azure-wrapper-api

Client for Azure Text Analytics

starspace

Learning embeddings for classification, retrieval and ranking.