This system is capable of identifying human emotions such as happiness, sadness, anger, surprise, and more — directly from facial expressions in real-time. Built using Convolutional Neural Networks…

An experimental Clinical Quality Language execution engine for analyzing FHIR healthcare data at scale.

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

[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs

A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

Machine Learning Engineering Online Book

Human Resources and Staffing

Code and Resources for the paper, "Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries"

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

The testing framework dedicated to ML models, from tabular to LLMs 🛡️🧑‍🔬

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

A curated list of reinforcement learning with human feedback resources (continually updated)

An awesome & curated list of best open source MLOps/LLMOps tools for data scientists.

Exercism exercises in Python.

Run 🤗 Transformers in your browser!

AI-based pose tracking and repetitions counter to help everyone do the workout.

Key-frame based summarization of videos

Generate summary of any video 📺 anywhere and anytime

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Explanation to key concepts in ML

Transforms PDF, Documents and Images into Enriched Structured Data

Tools for curating biomedical training data for large-scale language modeling

Machine Learning (TOBB ETU YAP470/BIL470)

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

SGPT: GPT Sentence Embeddings for Semantic Search

Unified Model Serving Framework 🍱

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

An easy way to extract information from documents

We invite you to participate in the CASE-2022 Shared Task: Event Causality Identification with Causal News Corpus. The task is being held as part of the 5th Workshop on Challenges and Applications …