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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

advanced-computer-vision-tf

Advanced Computer Vision with TensorFlow

ai-and-machine-learning

Topics in artificial intelligence and machine learning related statistical machine learning, deep learning, supervised and unsupervised learning, knowledge representation and reasoning

artificial-intelligence

Core concepts in designing autonomous agents that can reason, learn, and act to achieve user-given objectives and prepares students to address emerging technical and ethical challenges using a principled approach to the field.

carla-colab

How to run CARLA simulator on colab

carla-simulator

Open-source simulator for autonomous driving research.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deepv2d

diffusion-models-dlai

Diffusion Models notebooks from short deeplearning.ai course.

dino

Colab implementation of self-supervised learning using vision transformer and knowledge with DINO - distillation with no labels

encoder-decoder

Encoder-Decoder course notebook from Google

face-id

handlandmarks

Hand landmarks tracking

hands-on-ml

Example code and solutions to the exercises in my O'Reilly book Hands-on Machine Learning with Scikit-Learn and TensorFlow

image-captioning-models

[Course] Create Image Captioning Models - Google Generative AI

imagen-pytorch-notebook

Notebok for implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

intro-deep-learning-visual-computing

Intro to Deep Learning in Visual Computing

knowledge-representation-and-reasoning

Knowledge representation and reasoning (KRR) is one of the fundamental areas in Artificial Intelligence. It is concerned with how knowledge can be represented in formal languages and manipulated in an automated way so that computers can make intelligent decisions based on the encoded knowledge.

lama-pacos

Implementation of alpaca lora

langchain-for-llm

LangChain for LLM Application Development deeplearning.ai course

langflow

⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.

llama-efficient-tuning

Easy-to-use fine-tuning framework using PEFT (PT+SFT+RLHF with QLoRA) (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)

llama2-chatbot-deep-learning

Deep Learning expert chatbot built using Llama2, langchain and chainlit.

llama2-colab

Implementation of Llama2 model running inference on Colab notebook

llama2-deep-learning-expert-colab

Colab notebook using llama 2 chat model answering questions as a deep learning expert by focusing on specific books and papers

llama2-langchain-chainlit-pdf

Chatbot using Llama2 model, Langchain and Chainlit to make a LLM review pdf documents.

llava-testing

Testing of LLaVA: Large Language and Vision Assistant

llm-course

Course with a roadmap and notebooks to get into Large Language Models (LLMs).

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

metagpt

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo