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agi_task

ai_humanities

This is the curriculum for AI Humanities by Siraj Raval on Youtube

algorithms_java

algorithms_python

Algorithm codes are codded using Python 3.6

awmf-cnn

Codes for our paper " Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology".

bpemb

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

chest_xray_14

Benchmarks on NIH Chest X-ray 14 dataset

code-vault

Collection of useful notebooks and snippets

deep-doc-classifier-using-bayesian-neural-networks

deep_doc_classifier

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

fairseq-image-captioning

Transformer-based image captioning extension for pytorch/fairseq

gaps013

Config files for my GitHub profile.

gpt-2

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

grokking-deep-learning

Sample Code From Andrew Trask Grokking Deep Learning

medical-report-generation

A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

mytest

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

nts-net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

radcap_project

report_generation

skorch

A scikit-learn compatible neural network library that wraps pytorch

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite