⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

This repository contains implementations and illustrative code to accompany DeepMind publications

Language-Agnostic SEntence Representations

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Multilingual word vectors in 78 languages

Environment for reinforcement-learning algorithmic trading models

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…

Detectorch - detectron for PyTorch

Combining satellite imagery and machine learning to predict poverty

Statistics and accepted paper list of NLP conferences with arXiv link

Notebook example of how to generate class visualizations with Caffe

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

EGG: Emergence of lanGuage in Games

ULMFiT for Genomic Sequence Data

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

TimeLMs: Diachronic Language Models from Twitter

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019

Analyses on over 18,000 pitchfork reviews.

Corpus of Online Medical EnTities: the cometA corpus

[EMNLP 2021] Code and data for our paper "Visually Grounded Reasoning across Languages and Cultures"

[TACL 2021] Code for our paper "Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs"