Implementation of some deep learning algorithms.
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This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- aifinance
- fintech
- llama
- machine-learning
Sample applications built using AWS' Amazon Machine Learning.
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
- tensorflow
- domain-transfer
- unsupervised-learning
- image-generation
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
PyTorch to Keras model convertor
- pytorch
- keras-model-convertor
- keras
- tensorflow
Sno Station Skills: 31 tested skills that turn Claude Code and Codex into one working team. Cross-vendor peer review, automatic handoff when an agent hits its quota, a one-page morning brief, work orders with proof, and a nightly loop that learns from your own sessions. Open source, installed with one sno setup.
- agent-skills
- claude-code
- claude-code-skills
- code-review
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
- computer-vision
- visible-infrared
- low-light-image
- image-fusion
Papers, code and datasets about deep learning and multi-modal learning for video analysis
- deep-learning
- video-analysis
- paper
- multimodal-learning
Deep learning for Ruby, powered by LibTorch
Precision Medicine Knowledge Graph (PrimeKG)
- knowledge-graph
- precision-medicine
- therapeutics
- bioinformatics
Deep Pink is a chess AI that learns to play chess using deep learning.
Learning to Recover from LLM Agent Failures at Test Time
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
- 3d
- bounding-box
- pointcloud
- annotation
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
- cli
- deep-learning
- education
- from-scratch
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
Java Statistical Analysis Tool, a Java library for Machine Learning
- machine-learning
- java
- machine-learning-library
- machine-learning-algorithms
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
- convolutional-neural-networks
- deep-learning
- speaker-recognition
- 3d
A scalable machine learning library on Apache Spark
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- computer-vision
- machine-learning
- deep-learning
- autonomous-vehicles
BLEURT is a metric for Natural Language Generation based on transfer learning.