Pinned Repositories
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
anomaly_detection_using_databricks
AutoCalibration
Automatic cross calibration between image and lidar
DDPG
Deep deterministic policy gradient implementation using tensorflow eager execution
distributed-deep-learning-workshop
langchain
🦜🔗 Build context-aware reasoning applications
tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
s-udhaya's Repositories
s-udhaya/distributed-deep-learning-workshop
s-udhaya/anomaly_detection_using_databricks
s-udhaya/langchain
🦜🔗 Build context-aware reasoning applications
s-udhaya/cheat-sheet
collection of cheat sheets
s-udhaya/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
s-udhaya/data-engineering-with-databricks-english
s-udhaya/databricks-sdk-py
Databricks SDK for Python (Beta)
s-udhaya/deltatorch
s-udhaya/demand-forecasting-images
s-udhaya/e2e-mlops
Demo repository implementing an end-to-end MLOps workflow on Databricks. Project derived from dbx basic python template
s-udhaya/genai-cookbook
s-udhaya/image-share
s-udhaya/ml-in-production-english
Machine Learning in Production
s-udhaya/mlflow
Open source platform for the machine learning lifecycle
s-udhaya/mlflow_custom_pyfunc
s-udhaya/mlops-demo-aws
s-udhaya/mlops-stacks
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
s-udhaya/mono-repo
s-udhaya/pancake-farm
s-udhaya/pancake-frontend
:pancakes: Pancake main features (farms, pools, IFO, lottery, profiles)
s-udhaya/pancake-info-api
Serverless API implementation for PancakeSwap on-chain data query.
s-udhaya/pancake-subgraph
📊 Pancake subgraph
s-udhaya/pancake-swap-core
Core smart contracts
s-udhaya/pancake-swap-interface-v1
:pancakes: Pancake trading interface V1
s-udhaya/pancake-toolkit
:hammer_and_pick: Pancake frontend packages
s-udhaya/pancakeswap-sdk-v1
:hammer_and_wrench: Pancake SDK
s-udhaya/pancakeswap-sdk-v2
s-udhaya/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
s-udhaya/scalable-machine-learning-with-apache-spark
s-udhaya/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.