AnkushMalaker

Ankush Malaker's starred repositories

DeepSpeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Language:C++MPL-2.02491200

danswer

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

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infinity

Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of text-embedding models and frameworks.

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GLiNER

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Language:PythonApache-2.0113300

mem0

The memory layer for Personalized AI

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OpenGlass

Turn any glasses into AI-powered smart glasses

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activitywatch

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

Language:PythonMPL-2.01158500

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Language:Jupyter NotebookApache-2.0939700

Omi

AI wearables

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Wav2Lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

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Adala

Adala: Autonomous DAta (Labeling) Agent framework

Language:PythonApache-2.088900

arithmetic

Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (2024)

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annotated_research_papers

This repo contains annotated research papers that I found really good and useful

MIT266400

Phi-3CookBook

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

Language:Jupyter NotebookMIT154700

awesome-llm-apps

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

Language:PythonCC0-1.0283500

khoj

Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.

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