jainxy's Stars
8080labs/ppscore
Predictive Power Score (PPS) in Python
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
amazon-science/gluonmm
A library of transformer models for computer vision and multi-modality research
LinHanhe/SUR-FeatNet
andrewekhalel/sewar
All image quality metrics you need in one package.
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
opensearch-project/OpenSearch
🔎 Open source distributed and RESTful search engine.
Jeremy26/CVPR-2022-Papers-EN
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
facebookresearch/metaseq
Repo for external large-scale work
aws/deep-learning-containers
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
amazon-science/wikiwiki-dataset
openvinotoolkit/nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
videolan/x265
https://bitbucket.org/multicoreware/x265/ git mirror
kennethleungty/Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
aws4embeddedlinux/meta-aws
The metadata layer for baking AWS device software to Embedded Linux distributions built by the Yocto Project build system.
facebookresearch/Detic
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
microsoft/FaceSynthetics
Face synthetics datasets
google-research-datasets/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
n-riesco/ijavascript
IJavascript is a javascript kernel for the Jupyter notebook
Telecommunication-Telemedia-Assessment/bitstream_mode3_p1204_3
Open source reference implementation of ITU-T P.1204.3
cvat-ai/cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
HandBrake/HandBrake
HandBrake's main development repository
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
statsthinking21/statsthinking21-python
Python companion for Statistical Thinking in the 21st Century
statsthinking21/statsthinking21
Main web site for Statistical Thinking for the 21st Century
bmild/nerf
Code release for NeRF (Neural Radiance Fields)
facebookresearch/d2go
D2Go is a toolkit for efficient deep learning
pytorch/captum
Model interpretability and understanding for PyTorch
facebookresearch/pytorchvideo
A deep learning library for video understanding research.