Tornike Mzhavia's starred repositories
FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Neural-Net-Zero-to-Hero-with-Andrej
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.
private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
face_recognition
The world's simplest facial recognition api for Python and the command line
vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
stable-diffusion-webui
Stable Diffusion web UI
flowframes
Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
openai-cookbook
Examples and guides for using the OpenAI API
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
jupyterlite
Wasm powered Jupyter running in the browser 💡
SponsorBlockServer
Skip YouTube video sponsors (server side portion)
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
pyTigerGraph
pyTigerGraph is a Python package for interacting with TigerGraph databases.
simpletransformers
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI