Lists (2)
Stars
A collection of various deep learning architectures, models, and tips
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
This repository contains the Hugging Face Agents Course.
Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Official Implementation of GLAP - General Language Audio Pretraining
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…
🧠 Leon is your open-source personal assistant.
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)
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
📋 A list of open LLMs available for commercial use.
Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.
A lightweight, powerful framework for multi-agent workflows
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
Dockerized FastAPI boiler plate similar to Django code structure with views, serializers(pydantic) and model( Sqlalchemy ORM) with dockerized database(PostgresSQL) and PgAdmin. 🚀
a food shopping website with a recommender system
🎓 Sharing machine learning course / lecture notes.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Perform inference with 10 well-known semantic segmentors, Fine tune semantic segmentors on a custom dataset. Design and train your own semantic segmentation mode
In this tutorial, you will perform inference across 10 well-known pre-trained semantic segmentors and fine-tune on a custom dataset. Design and train your own segmentor.
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.