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A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
[NeurIPS '24] On the Noise Robustness of In-Context Learning for Text Generation
Analysis of SMA outfit (blackbox) use in public equity markets for real-time insight into wealth distribution and direct stock market influence. A call for transparency and public discourse.
ECG Arrhythmia classification using CNN
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
Collection of AWESOME vision-language models for vision tasks
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Notebooks using the Hugging Face libraries 🤗
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
This is a repository of public data sources for Recommender Systems (RS).
Python training for business analysts and traders
Solutions of Reinforcement Learning, An Introduction
From the Transistor to the Web Browser, a rough outline for a 12 week course
Build AI Agents with Your Existing Python Code!
A modular graph-based Retrieval-Augmented Generation (RAG) system
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
Accessible large language models via k-bit quantization for PyTorch.
Optimised Neural Network functions for Espressif chipsets
This is the GitHub repository of the MyNotes application for the Free Flutter Course (https://www.youtube.com/playlist?list=PL6yRaaP0WPkVtoeNIGqILtRAgd3h2CNpT)
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.