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anomalyframework_eccv2016

anomalyframework_python

class_prior_estimation

Convex Opt Project

cmu-thesis

Latex starters for creating a CMU thesis or thesis proposal

detectron2

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

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

fastmaskrcnn

Mask RCNN in TensorFlow

fcn-instances-pytorch

PyTorch Implementation of Fully Convolutional Networks.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

gpt2-kd

GPT2 compression

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

hand_object_detector

Project and dataset webpage:

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

markdown-content

Markdown content for the www.aerobatic.io website

minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

mpld3

D3 Renderings of Matplotlib Graphics

multi-instance-mask-rcnn-extension

neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-segmentation-detection

Image Segmentation and Object Detection in Pytorch

pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

referringrelationships

relational_anomalies_from_scene_graph_benchmark

image scene graph generation benchmark

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-fcn

An Implementation of Fully Convolutional Networks in Tensorflow.

testhub