Summary of My Technology Stacks
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
- Github Repo
- Colab - PEFT & bitsandbytes to finetune a LoRa
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
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
- Gemini Prompt Gallery, Task which can be done with Gaemini-1.5-flash
- Story Generation with JavaScript
- Story Generation with Python
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
- Android
- Falcon_Android
- ImageRecognition
- Java
- nodejs
- react