- Kanpur,India
-
14:21
- 5h30m ahead - https://www.linkedin.com/in/ritesh-yadav2011/
- @RiteshYadav_1
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Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…
Adding InMemoryCaching, Ensemble Retrievers,langchain, faiss for a open domain chatbot
Creating a Kubernetes API, controller, validate webhooks, and test.
This repository contains the yaml for testing the Reloader component in Kubernetes
Repository holds the code for creating a CRUD API through Mux in Go
This repository is all about How to use Langchain+LLMS+Vector Datastores for various NLP task
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
A repo to explain GitHub-Actions in a easy way!
Deployed a 3D static webapp on Kubernetes Cluster, just a small demo on how to deploy static webapp!
Testing out FastAPI+GraphQL+Sqlalchemy+Docker-Compose
Assesment for INeuron DevOps Pro Job Assistance, Only for the people enrolled in INeuron Devops Pro Course and applied in Job Assistance Program!
Vodka is a NLP Template for starting a Transformer based Modular Project's, It is currently building!
Chatur Vani is a non-living intelligent being.
A quick example to showcase cron job using github actions
Backbone: 5 x DeBerta and Head: Rapids SVR
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Quasi-Dense Similarity Learning for Multiple Object Tracking, CVPR 2021 (Oral)
Keep your lambdas warm during winter. ♨
Real Time Data Drift Monitoring Using Prometheus, Grafana, Prefect and Evidently
My always imports & reusable functions for maximum Kaggle competitions
A Unified Library for Parameter-Efficient and Modular Transfer Learning