Pinned Repositories
engblogs
learn from your favorite tech companies
cpython
The Python programming language
1brc
Python implementation of One Billion Row Challenge
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
cpython
The Python programming language
creditcard-fraud-detection
crypto_market_sentiment
Crypto Currency Market Mood Index using Tweets
first-contributions
🚀✨ Help beginners to contribute to open source projects
pyk
Python implementation of Bitcask
url-shortener
raghunandanbhat's Repositories
raghunandanbhat/addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
raghunandanbhat/cpython
The Python programming language
raghunandanbhat/creditcard-fraud-detection
raghunandanbhat/crypto_market_sentiment
Crypto Currency Market Mood Index using Tweets
raghunandanbhat/first-contributions
🚀✨ Help beginners to contribute to open source projects
raghunandanbhat/Predicting-disaster-tweets-with-BERT
Predicting if a tweet is about a real disaster or not using BERT
raghunandanbhat/raghunandanbhat
raghunandanbhat/raghunandanbhat.github.io
Config files for my GitHub profile.
raghunandanbhat/tigerbeetle
The distributed financial transactions database designed for mission critical safety and performance.
raghunandanbhat/url-shortener
raghunandanbhat/1brc
Python implementation of One Billion Row Challenge
raghunandanbhat/pyk
Python implementation of Bitcask
raghunandanbhat/awesome-api-devtools
:books: A collection of useful resources for building RESTful HTTP+JSON APIs.
raghunandanbhat/easy_hosuing
raghunandanbhat/engblogs
learn from your favorite tech companies
raghunandanbhat/jungle
raghunandanbhat/NachOS
raghunandanbhat/picasky
ascii pictures
raghunandanbhat/proxysql
High-performance MySQL proxy with a GPL license.
raghunandanbhat/pycurl
curl implemented in python
raghunandanbhat/Qwen1.5
Qwen1.5 is the improved version of Qwen, the large language model series developed by Qwen team, Alibaba Cloud.
raghunandanbhat/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.