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a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

alpaca-lora

Instruct-tuning LLaMA on consumer hardware

alpaca_lora_4bit

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

axa_telematics

Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition

bert

TensorFlow code and pre-trained models for BERT

binpacking_neural_combinatorial_optimization

Bin Packing Problem using Neural Combinatorial Optimization.

cheatsheet-translation

Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence

course-v3

The 3rd edition of course.fast.ai

csv

data-analysis

Data Science Using Python

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

deeplearning-models

A collection of various deep learning architectures, models, and tips

dl-4-tsc

Deep Learning for Time Series Classification

dl-ecg-review

A Review of Deep Learning Methods on ECG Data

ecg_ptbxl_benchmarking

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

equity-portfolio-prediction

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai

The fastai deep learning library, plus lessons and tutorials

fatsapi_template

genshindialog

Extracting character conversations in Genshin Project

gnnpapers

Must-read papers on graph neural networks (GNN)

googlescraper

A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, ...). Including asynchronous networking support.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt2

An implementation of training for GPT2, supports TPUs

graph-convnet-tsp

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)

har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

hsp_cnn

A CNN model for hit song prediction (HSP).