ashokpant
Machine learning software engineer and research scholar. (Fields: Deep learning, Computer Vision, NLP, and Data Mining)
https://treeleaf.ai Kathmandu, Nepal
ashokpant's Stars
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
NARKOZ/hacker-scripts
Based on a true story
ClickHouse/ClickHouse
ClickHouse® is a real-time analytics DBMS
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
milvus-io/milvus
Milvus is a high-performance, cloud-native vector database designed to scale.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
zincsearch/zincsearch
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
gradle/gradle
Adaptable, fast automation for all
facebookresearch/detr
End-to-End Object Detection with Transformers
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
weaviate/weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
girliemac/a-picture-is-worth-a-1000-words
I am trying to describe complex matters in simple doodles!
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
sottlmarek/DevSecOps
Ultimate DevSecOps library
awslabs/gluonts
Probabilistic time series modeling in Python
thunlp/OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE)
Janspiry/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
roomylee/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
autoliuweijie/K-BERT
Source code of K-BERT (AAAI2020)
booknlp/booknlp
BookNLP, a natural language processing pipeline for books
shuyo/language-detection
This is a language detection library implemented in plain Java. (aliases: language identification, language guessing)
plkmo/BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
dstl/Stone-Soup
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
vicgalle/gpt-j-api
API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend
roatienza/deep-text-recognition-benchmark
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
TheProtaganist/gpt-j
A GPT-J API to use with python3 to generate text, blogs, code, and more
chinahbcq/faiss-server
A high performance similariy search service with faiss inside.