sai1992c's Stars
bonigarcia/selenium-webdriver-java
Examples of the O'Reilly book "Hands-On Selenium WebDriver with Java"
Abhi-T/YOLO
YOLO Practical
ChawlaAvi/Question_Answering_on_SQuAD
Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0
ChawlaAvi/Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
numpy/numpy
The fundamental package for scientific computing with Python.
dstackai/dstack
dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, & TPU.
feature-engine/feature_engine
Feature engineering package with sklearn like functionality
thomaspingel/neilpy
An aggregation of methods and functions for lidar and photogrammetric point cloud processing. This kit is designed for use in the Near Earth Imaging Lab, but contributions and uses outside of this are welcome.
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
lilanxiao/image2point
Unoffical implementation of Image2Point paper
Na-Z/PS-2Net
[ICPR 2020] PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
tensorflow/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
chenfengxu714/image2point
Official implementation of Image2Point.
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
QingyongHu/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
Nabagata/interview-prep
Everything you need to know to get the job
sai19692/books
sai19692/tutorials
Just Announced - "Learn Spring Security OAuth":
abeaumont/competitive-programming
Solutions to problems from various online judges / contest sites.
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
nic-delhi/AarogyaSetu_Android
Aarogya Setu Android app native code