Stars
This project leverages Language Model (LLM) finetuning, Semantic Chunking, and a Retrieval-Augmented Generation (RAG) based Chatbot framework to provide personalized medical information retrieval f…
Make multiple Collections on Qdrant with Langchain & Openai
Retrieval-Augmented Generation (RAG) with Qdrant and OpenAI
This repository details the development of a Medical Chatbot designed to provide patients with personalized and immediate access to medical information and services, utilizing AI and NLP techniques.
This chatbot lets users upload and query multiple documents, using RAG to provide precise answers by combining retrieval and generation techniques.
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
[ICML 2025] Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-Aware Diffusion
PyTorch Implementation of “SMC++: Masked Learning of Unsupervised Video Semantic Compression", an extended version of ICCV 2023 paper "Non-Semantics Suppressed Mask Learning for Unsupervised Video …
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
A Modular End-to-End Tracking Framework for Research and Development 🎯🔬
Official implementation of 🐫 CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking 🐫
Code for the paper "Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking"
The ultimate training toolkit for finetuning diffusion models
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
A time series forecasting project using PyTorch Forecasting's Temporal Fusion Transformer (TFT) model.
Time series forecasting with PyTorch
Pytorch Implementation of Google's TFT
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Scalable and user friendly neural 🧠 forecasting algorithms.
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
NeuralProphet: A simple forecasting package
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
CryptoCurrency prediction using machine learning and deep learning