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Manan Kalra's starred repositories

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

Language:HTMLCC0-1.0105956 13820

ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

Language:GoMIT72937 441 3170

open-interpreter

A natural language interface for computers

Language:PythonAGPL-3.049580 374 864

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Language:Jupyter NotebookApache-2.032870 344 62

langflow

⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.

Language:JavaScriptMIT18818 162 824

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Language:PythonNOASSERTION14232 264 201

dspy

DSPy: The framework for programming—not prompting—foundation models

Language:PythonMIT12744 119 508

unsloth

Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Language:PythonApache-2.011394 83 479

MemGPT

Create LLM agents with long-term memory and custom tools 📚🦙

Language:PythonApache-2.010527 109 606

open-llms

📋 A list of open LLMs available for commercial use.

Apache-2.010438 225 34

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

7402 210 14

awesome-langchain

😎 Awesome list of tools and projects with the awesome LangChain framework

CC0-1.06963 137 11

GPTCache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Language:PythonMIT6595 57 155

LLMLingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

Language:PythonMIT4083 32 102

langgraph

Build resilient language agents as graphs.

Language:PythonMIT3676 48 115

NeMo-Guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Language:PythonNOASSERTION3620 34 269

llm-viz

3D Visualization of an GPT-style LLM

Language:TypeScript2895 23 14

pythia

The hub for EleutherAI's work on interpretability and learning dynamics

Language:Jupyter NotebookApache-2.02097 33 99

graph-of-thoughts

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

Language:PythonNOASSERTION1925 20 20

AutoPrompt

A framework for prompt tuning using Intent-based Prompt Calibration

Language:PythonApache-2.01780 10 18

RestGPT

An LLM-based autonomous agent controlling real-world applications via RESTful APIs

Language:PythonMIT1260 15 9

Task-Oriented-Dialogue-Research-Progress-Survey

A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.

1240 66 10

amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.

Language:Jupyter NotebookMIT-01190 36 106

LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

Language:PythonApache-2.0983 12 56

Awesome-LLMs-Evaluation-Papers

The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.

614 11 14

LLM-Planning-Papers

Must-read Papers on Large Language Model (LLM) Planning.

273 10 1

presto

A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs

108 8 1

LetsGoDataset

This repository makes the integral Let's Go dataset publicly available.

Language:PythonNOASSERTION46 10 2

multilingual-top

Multilingual TOP dataset for semantic parsing in English, Italian and Japanese

Language:NewLispNOASSERTION800

ES-Port Corpus. Spontaneous spoken human-human dialogue corpus consisting of transcribed dialogues from calls to the technical customer support service of a Spanish telecom operator for companies. The corpus has been anonymised and annotated at various linguistic and acoustic-related extralinguistic levels.

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