Narasimman's repositories
Agent-FLAN
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
argilla
✨Argilla: the open-source data curation platform for LLMs
DataDreamer
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
design-patterns-python
Design Pattern Examples in Python
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
FastSAM
Fast Segment Anything
gensim
Topic Modelling for Humans
LLM-Finetuning
LLM Finetuning with peft
LLM-Finetuning-Hub
Repository that contains LLM fine-tuning and deployment scripts along with our research findings.
LLMtuner
Tune LLM in few lines of code
LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Long-Context-Data-Engineering
Implementation of paper Data Engineering for Scaling Language Models to 128K Context
LongLoRA
Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
mlflow
Open source platform for the machine learning lifecycle
MobileSAM
This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
objgraph
Visually explore Python object graphs
ollama
Get up and running with Llama 2, Mistral, Gemma, and other large language models.
refinery
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Tracking-Anything-with-DEVA
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
TransformerSum
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
xarray
N-D labeled arrays and datasets in Python