ECS AI's repositories
ADAS
Automated Design of Agentic Systems
ag2
AG2 (formerly AutoGen) is a programming framework for agentic AI. Join the community at: https://discord.gg/pAbnFJrkgZ
AgentKit
An intuitive LLM prompting framework for multifunctional agents, by explicitly constructing a complex "thought process" from simple natural language prompts.
AI-Investigator
An automated AI system (Python framework) designed to analyze any type of website content and generate structured reports using Claude 3.5 Sonnet API and Firecrawl. While currently configured for enterprise AI case studies, the architecture can be adapted for various content analysis needs.
anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
Awesome-LLM-Synthetic-Data
A reading list on LLM based Synthetic Data Generation 🔥
concordia
A library for generative social simulation
context-is-key-forecasting
Context is Key: A Benchmark for Forecasting with Essential Textual Information
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
F5-TTS
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
GenAIExamples
Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.
GeoSAM
Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
LLM-engineer-handbook
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
LLMInterviewQuestions
This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
NeMo-Curator
Scalable data pre processing and curation toolkit for LLMs
pangaea-bench
Towards Robust Evaluation for Geospatial Foundation Models
PC-Agent
PC Agent: While You Sleep, AI Works - A Cognitive Journey into Digital World
simplemind
Python API client for AI providers that intends to replace LangChain and LangGraph for most common use cases.
skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
synthetic-data-generator
Build datasets using natural language
TEN-Agent
TEN Agent is the world’s first real-time multimodal agent integrated with the OpenAI Realtime API, RTC, and features weather checks, web search, vision, and RAG capabilities.
Transformers_And_LLM_Are_What_You_Dont_Need
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
trl
Train transformer language models with reinforcement learning.
ultravox
A fast multimodal LLM for real-time voice