3 minute read

AI/ML - Technology Stack - Developed/ Created/ Expended work

Works in this section are listed according to Technology/Tech Product/POC

LLM

Langchain Multimodal

Comet.com

Comet Automatically track all your prompt engineering work. Run automated evaluations on your LLM responses to optimize your applications before and after they hit production.

Debug and evaluate your LLM applications with Opik (Opik Open Source LLM Evaluation)

  • Automatically track all your prompt engineering work. Run automated evaluations on your LLM responses to optimize your applications before and after they hit production.

Track and visualize your model training runs with Experiment Management (Commet Experiment Management)

  • Log all your machine learning iteration to a single system of record. Make it easy to reproduce a previous experiment and compare the performances of training runs.

Monitor ML model performance in production with Comet MPM (Commet Model Monitoring)

  • Track data drift on your input and output features after your model is deployed to production. Set customized alerts to capture model performance degradation in real time.

Store and manage your models with Model Registry (Commet Model Registry)

  • Create a centralized repository of all your model versions with immediate access to how they were trained. Promote models to downstream production systems with webhooks

Create and version datasets with Artifacts (Commet Artifacts)

  • Know which exact dataset version a model was trained on for auditing and governance purposes. Leverage remote pointers to reference data already stored in the cloud.

Links

finetune-bloom-7b

finetune-llama2

finetune-llama3-8b

groq-whisper-fast

ollama

groqcloud

Langchain

lmstudio

neo2.7b

open-webui

openAI

openai-quickstart-python

Quantization

RAG

ts.llamaindex

GroqCloud

COG

NLP

embedding

NLP-Concepts

NLP-Hindi-Bible

NLP-Plugin20Event

NLP-rasa

NLP-Misc

Cloud

AWS-Amazon-Bedrock-for-Serverless-LLM

AWS-Amplify

AWS-Runner

AWS-SageMaker

GCP-Vision

Gemini Genai

Geimini GenAI-Js

Analytics

PowerBI

Bokeh

Pandas

plotly

PyGWalker

tableau

Bigdata

Bigdata-HiveScoop

Bigdata-mySQL

MangoDB

CV

Flower-Prediction

ImageAugmentation

ImageProcessing

MNIST-Experiments

Object-Detection-InBrowser

DE

DataCleaning

Datacollection

PyWebScrapping

Machine Learning Frameworks

mobilenet-v2

Using deep learning model on mobile.

Tensofrlow Lite for Regression

GAN

MusicGeneration

IOT

BOLTIOT

Machine Learning

Classification

Clustering

DataImbalance

ML-Retraining

Regression

ROC

MLOps

ML-Pipelines

Naptune

-

Python-Automation

PythonicWay

R-Projects

Timeseries

TS-multivariate

TS-Smoothing

Audio

Speech Recognition

AI/ML - Forked

automl

chroma

diffusers

evalml

gcp-python-docs-samples

GFPGAN

google-gemini-cookbook

intel-scikit-learn-intelex

langchain

langgraph

Learning-Pandas-Second-Edition

LeetCode-js

microsoft-generative-ai-for-beginners

packages

stanford_alpaca

tensorboard

tensorflow

tensorflow-examples

tfjs-examples

Visualization

Lux

viz-github-repo

Web+Mobile App Development - POC Work

  1. Android
  2. Falcon_Android
  3. ImageRecognition
  4. Java
  5. nodejs
  6. react

Updated:

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