Stars
Examples and guides for using the OpenAI API
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.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A guidance language for controlling large language models.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
This repository contains implementations and illustrative code to accompany DeepMind publications
FinRL®: Financial Reinforcement Learning. 🔥
A collection of pre-trained, state-of-the-art models in the ONNX format
Book about interpretable machine learning
Structured state space sequence models
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
YoloV3 Implemented in Tensorflow 2.0
A comprehensive guide to building RAG-based LLM applications for production.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
SGPT: GPT Sentence Embeddings for Semantic Search