karimzade

ollama

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

python-cheatsheet

Comprehensive Python Cheatsheet

llm-course

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

whisper.cpp

Port of OpenAI's Whisper model in C/C++

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

PlotNeuralNet

Latex code for making neural networks diagrams

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

LibreTranslate

Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.

FastSAM

Fast Segment Anything

dockerlabs

Docker - Beginners | Intermediate | Advanced

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

udlbook

Understanding Deep Learning - Simon J.D. Prince

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

gpt-computer-assistant

gpt-4o for windows, macos and linux

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

leetcode-company-wise-problems-2022

Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

ZoeDepth

Metric depth estimation from a single image

Tracking-Anything-with-DEVA

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

visualkeras

Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

GML2023

Graph Machine Learning course, Xavier Bresson, 2023

DCI-VTON-Virtual-Try-On

[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.

virtual-world

OASim

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

CurveLanes

CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.

wyoming-openwakeword

Wyoming protocol server for openWakeWord wake word detection system

easy-web-summarizer

Summarize webpages from specified URLs using the LangChain framework and the ChatOllama model

Semantic-Fast-SAM

SSA + FastSAM/Semantic Fast Segment Anything , or Fast Semantic Segment Anything

ComfyUI-Transformers